From 5abd9f749e1b3b89f819c47c1eb8f57aeac4260b Mon Sep 17 00:00:00 2001 From: Beate Vieth Date: Thu, 18 Jun 2020 18:18:37 +0200 Subject: [PATCH] Update to current R version --- .gitignore | 1 + DESCRIPTION | 67 +- NAMESPACE | 4 +- NEWS.md | 6 + R/Evaluate.R | 34 +- R/Plot.R | 8 +- R/Setup.R | 4 +- R/utils_DEdetection.R | 2 +- R/utils_estimate.R | 31 +- R/utils_plot.R | 54 +- R/utils_sim.R | 58 +- README.Rmd | 9 +- README.md | 307 +-- doc/powsimR.R | 36 +- doc/powsimR.Rmd | 60 +- doc/powsimR.html | 344 ++-- docs/404.html | 34 +- docs/LICENSE.html | 34 +- docs/articles/estparam_gene_celseq2.png | Bin 134532 -> 139976 bytes docs/articles/estparam_spike_celseq2.png | Bin 82130 -> 86083 bytes .../evalderes_conditional_celseq2.png | Bin 85253 -> 81464 bytes docs/articles/evalderes_marginal_celseq2.png | Bin 40545 -> 40233 bytes docs/articles/evalrocres_liberal_celseq2.png | Bin 103470 -> 102322 bytes docs/articles/evalsimres_celseq2.png | Bin 73866 -> 70738 bytes docs/articles/evaltime_celseq2.png | Bin 20231 -> 20681 bytes docs/articles/index.html | 35 +- docs/articles/powsimR.html | 557 +++--- docs/authors.html | 32 +- docs/bootstrap-toc.css | 60 + docs/bootstrap-toc.js | 159 ++ docs/index.html | 558 +++--- docs/news/index.html | 64 +- docs/pkgdown.css | 121 +- docs/pkgdown.js | 5 - docs/pkgdown.yml | 3 +- docs/reference/Bulk_Read_Counts.html | 40 +- docs/reference/GeneCounts.html | 40 +- docs/reference/GeneLengths_hg19.html | 40 +- docs/reference/GeneLengths_mm10.html | 40 +- docs/reference/Setup.html | 82 +- docs/reference/SpikeCounts.html | 40 +- docs/reference/SpikeInfo.html | 40 +- docs/reference/estimateParam.html | 48 +- docs/reference/estimateSpike.html | 53 +- docs/reference/evaluateDE.html | 47 +- docs/reference/evaluateDist.html | 43 +- docs/reference/evaluateROC.html | 44 +- docs/reference/evaluateSim.html | 44 +- docs/reference/index.html | 44 +- docs/reference/plotEvalDE.html | 43 +- docs/reference/plotEvalDist.html | 43 +- docs/reference/plotEvalROC.html | 43 +- docs/reference/plotEvalSim.html | 43 +- docs/reference/plotParam.html | 43 +- docs/reference/plotSpike.html | 43 +- docs/reference/plotTime.html | 43 +- docs/reference/printEvalDE.html | 44 +- docs/reference/simulateDE.html | 119 +- man/Bulk_Read_Counts.Rd | 4 +- man/GeneCounts.Rd | 4 +- man/GeneLengths_hg19.Rd | 4 +- man/GeneLengths_mm10.Rd | 4 +- man/Setup.Rd | 4 +- man/SpikeCounts.Rd | 4 +- man/SpikeInfo.Rd | 4 +- vignettes/estparam_gene.png | Bin 166716 -> 0 bytes vignettes/estparam_gene_celseq2.png | Bin 134532 -> 139976 bytes vignettes/estparam_spike.png | Bin 82304 -> 0 bytes vignettes/estparam_spike_celseq2.png | Bin 82130 -> 86083 bytes vignettes/evalderes_conditional_celseq2.png | Bin 85253 -> 81464 bytes vignettes/evalderes_marginal_celseq2.png | Bin 40545 -> 40233 bytes vignettes/evalrocres_liberal_celseq2.png | Bin 103470 -> 102322 bytes vignettes/evalsimres_celseq2.png | Bin 73866 -> 70738 bytes vignettes/evaltime_celseq2.png | Bin 20231 -> 20681 bytes vignettes/powsimR.R | 286 --- vignettes/powsimR.Rmd | 62 +- vignettes/powsimR.html | 1711 ----------------- 77 files changed, 2147 insertions(+), 3736 deletions(-) create mode 100644 docs/bootstrap-toc.css create mode 100644 docs/bootstrap-toc.js delete mode 100644 vignettes/estparam_gene.png delete mode 100644 vignettes/estparam_spike.png delete mode 100644 vignettes/powsimR.R delete mode 100644 vignettes/powsimR.html diff --git a/.gitignore b/.gitignore index 7183ed4..b89dc0c 100644 --- a/.gitignore +++ b/.gitignore @@ -31,3 +31,4 @@ vignettes/powsim_schematic.pdf powsimR\.Rproj Meta +doc diff --git a/DESCRIPTION b/DESCRIPTION index 3f58e0c..bbacdd3 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,42 +1,47 @@ Package: powsimR Type: Package Title: Power Simulations for RNA-sequencing -Description: Recent development of very sensitive RNA-seq protocols, such as Smart-seq2 and CEL-seq allows transcriptional profiling at - single-cell resolution and droplet devices make single cell transcriptomics high-throughput, allowing to characterize - thousands or even millions of single cells. In powsimR, we have implemented a flexible tool to assess power and sample - size requirements for differential expression (DE) analysis of single cell and bulk RNA-seq experiments. For our read - count simulations, we (1) reliably model the mean, dispersion and dropout distributions as well as the relationship - between those factors from the data. (2) Simulate read counts from the empirical mean-variance and dropout relations, - while offering flexible choices of the number of differentially expressed genes, effect sizes and DE testing method. (3) - Finally, we evaluate the power over various sample sizes. The number of replicates required to achieve the desired - statistical power is mainly determined by technical noise and biological variability and both are considerably larger if - the biological replicates are single cells. powsimR can not only estimate sample sizes necessary to achieve a certain - power, but also informs about the power to detect DE in a data set at hand. We believe that this type of posterior - analysis will become more and more important, if results from different studies are to be compared. Often enough - researchers are left to wonder why there is a lack of overlap in DE-genes across similar experiments. PowsimR will allow - the researcher to distinguish between actual discrepancies and incongruities due to lack of power. -Version: 1.2.1 -Imports: bayNorm, baySeq, BiocGenerics, BiocParallel, broom, BPSC, cobs, cowplot, data.table, DECENT, DEDS, DESeq2, doParallel, dplyr, - DrImpute, EBSeq, edgeR, fastICA, fitdistrplus, foreach, future, ggplot2, ggpubr, ggstance, grDevices, grid, Hmisc, iCOBRA, - IHW, kernlab, limma, Linnorm, magrittr, MASS, MAST, Matrix, matrixStats, methods, minpack.lm, moments, monocle, msir, - NBPSeq, NOISeq, nonnest2, parallel, penalized, plotrix, plyr, pscl, qvalue, reshape2, rlang, Rmagic, ROTS, rsvd, Rtsne, - RUVSeq, S4Vectors, SAVER, scales, scater, scDD, scde, SCnorm, scone, scran, sctransform, Seurat, SingleCellExperiment, - stats, SummarizedExperiment, tibble, tidyr, truncnorm, utils, VGAM, ZIM, zinbwave, zingeR, zoo -Remotes: nghiavtr/BPSC, cz-ye/DECENT, mohuangx/SAVER, rhondabacher/SCnorm, statOmics/zingeR, bioc::bayNorm, bioc::baySeq, - bioc::BiocGenerics, bioc::BiocParallel, bioc::DEDS, bioc::DESeq2, bioc::EBSeq, bioc::edgeR, bioc::iCOBRA, bioc::IHW, - bioc::limma, bioc::Linnorm, bioc::MAST, bioc::monocle, bioc::NOISeq, bioc::qvalue, bioc::ROTS, bioc::RUVSeq, - bioc::S4Vectors, bioc::scater, bioc::scDD, bioc::scde, bioc::scone, bioc::scran, bioc::SingleCellExperiment, - bioc::SummarizedExperiment, bioc::zinbwave -Depends: R (>= 3.6), gamlss.dist -Suggests: rmdformats, knitr, mvtnorm, MBESS +Description: Recent development of very sensitive RNA-seq protocols, such as Smart-seq2 and CEL-seq allows + transcriptional profiling at single-cell resolution and droplet devices make single cell + transcriptomics high-throughput, allowing to characterize thousands or even millions of single + cells. In powsimR, we have implemented a flexible tool to assess power and sample size requirements + for differential expression (DE) analysis of single cell and bulk RNA-seq experiments. For our read + count simulations, we (1) reliably model the mean, dispersion and dropout distributions as well as + the relationship between those factors from the data. (2) Simulate read counts from the empirical + mean-variance and dropout relations, while offering flexible choices of the number of differentially + expressed genes, effect sizes and DE testing method. (3) Finally, we evaluate the power over various + sample sizes. The number of replicates required to achieve the desired statistical power is mainly + determined by technical noise and biological variability and both are considerably larger if the + biological replicates are single cells. powsimR can not only estimate sample sizes necessary to + achieve a certain power, but also informs about the power to detect DE in a data set at hand. We + believe that this type of posterior analysis will become more and more important, if results from + different studies are to be compared. Often enough researchers are left to wonder why there is a + lack of overlap in DE-genes across similar experiments. PowsimR will allow the researcher to + distinguish between actual discrepancies and incongruities due to lack of power. +Version: 1.2.2 +Imports: bayNorm, baySeq, BiocGenerics, BiocParallel, broom, BPSC, cobs, cowplot, data.table, DECENT, DESeq2, + doParallel, dplyr, DrImpute, EBSeq, edgeR, fastICA, fitdistrplus, foreach, future, ggplot2, ggpubr, + ggstance, grDevices, grid, Hmisc, iCOBRA, IHW, kernlab, limma, Linnorm, magrittr, MASS, MAST, + Matrix, matrixStats, methods, minpack.lm, moments, monocle, msir, NBPSeq, NOISeq, nonnest2, + parallel, penalized, plotrix, plyr, pscl, qvalue, reshape2, rlang, Rmagic, ROTS, rsvd, Rtsne, + RUVSeq, S4Vectors, SAVER, scales, scater, scDD, scde, SCnorm, scone, scran, sctransform, Seurat, + SingleCellExperiment, stats, SummarizedExperiment, tibble, tidyr, truncnorm, utils, VGAM, ZIM, + zinbwave, zingeR, zoo +Remotes: nghiavtr/BPSC, cz-ye/DECENT, mohuangx/SAVER, rhondabacher/SCnorm, statOmics/zingeR, bioc::bayNorm, + bioc::baySeq, bioc::BiocGenerics, bioc::BiocParallel, bioc::DESeq2, bioc::EBSeq, bioc::edgeR, + bioc::iCOBRA, bioc::IHW, bioc::limma, bioc::Linnorm, bioc::MAST, bioc::monocle, bioc::NOISeq, + bioc::qvalue, bioc::ROTS, bioc::RUVSeq, bioc::S4Vectors, bioc::scater, bioc::scDD, bioc::scde, + bioc::scone, bioc::scran, bioc::SingleCellExperiment, bioc::SummarizedExperiment, bioc::zinbwave +Depends: R (>= 3.5), gamlss.dist +Suggests: BiocStyle, knitr, mvtnorm, MBESS LazyData: TRUE Encoding: UTF-8 VignetteBuilder: knitr -License: Artistic License 2.0 +License: GPL NeedsCompilation: no Author: Beate Vieth -Date: 2020-02-21 +Date: 2020-06-18 BugReports: https://github.com/bvieth/powsimR/issues URL: https://github.com/bvieth/powsimR Maintainer: Beate Vieth -RoxygenNote: 7.0.2 +RoxygenNote: 7.1.0 diff --git a/NAMESPACE b/NAMESPACE index 39ddaf7..5d6d28d 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -28,7 +28,6 @@ importFrom(BiocParallel,bpparam) importFrom(BiocParallel,register) importFrom(DECENT,fitNoDE) importFrom(DECENT,lrTest) -importFrom(DEDS,comp.FC) importFrom(DESeq2,DESeq) importFrom(DESeq2,DESeqDataSetFromMatrix) importFrom(DESeq2,counts) @@ -51,7 +50,6 @@ importFrom(MASS,rlm) importFrom(MAST,FromMatrix) importFrom(MAST,lrTest) importFrom(MAST,summary) -importFrom(MAST,zlm.SingleCellAssay) importFrom(Matrix,Matrix) importFrom(NBPSeq,nbp.test) importFrom(NOISeq,noiseqbio) @@ -133,6 +131,7 @@ importFrom(ggplot2,element_blank) importFrom(ggplot2,element_rect) importFrom(ggplot2,element_text) importFrom(ggplot2,expand_scale) +importFrom(ggplot2,expansion) importFrom(ggplot2,facet_grid) importFrom(ggplot2,facet_wrap) importFrom(ggplot2,geom_bar) @@ -209,7 +208,6 @@ importFrom(scales,math_format) importFrom(scales,percent) importFrom(scales,trans_breaks) importFrom(scales,trans_format) -importFrom(scater,calcAverage) importFrom(scater,isOutlier) importFrom(scone,SconeExperiment) importFrom(scone,estimate_ziber) diff --git a/NEWS.md b/NEWS.md index 5a71829..3944254 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,4 +1,10 @@ +# Version 1.2.2 (2020-6-18) + +* Ensuring compability with R version 4.0 (e.g. deprecated DEDS Bioconductor package) +* Adapt log fold change model matrix addition +* Adding log fold changes to fraction of replicates per group (option `p.G` in `Setup()`) + # Version 1.2.0 (2019-7-30) * Downsampling of count matrices using binomial thinning implemented in `estimateParam()` (UMI-read ratio estimation) and `simulateDE()`. diff --git a/R/Evaluate.R b/R/Evaluate.R index 2a45d61..78eeb2c 100644 --- a/R/Evaluate.R +++ b/R/Evaluate.R @@ -594,11 +594,11 @@ evaluateDE <- function(simRes, alpha.type=c("adjusted","raw"), fdr = simRes$SimulateRes$fdr ## calculate strata - tmp.ecdf.mean = stats::ecdf(log1p(estmeans)) + tmp.ecdf.mean = stats::ecdf(log2(estmeans+1)) tmp.quantile.mean = stats::quantile(tmp.ecdf.mean, probs=strata.probs) strata.mean = unique(c(0,unname(tmp.quantile.mean),Inf)) strata.mean = unique(round(strata.mean, digits=2)) - tmp.ecdf.disps = stats::ecdf(log1p(estdisps)) + tmp.ecdf.disps = stats::ecdf(log2(estdisps+1)) tmp.quantile.disps = stats::quantile(tmp.ecdf.disps, probs=strata.probs) strata.disps = unique(c(0,unname(tmp.quantile.disps),Inf)) strata.disps = unique(round(strata.disps, digits=2)) @@ -670,13 +670,13 @@ evaluateDE <- function(simRes, alpha.type=c("adjusted","raw"), # mean X.bar1 = mu[,j,i] ix.keep.mean = which(!is.na(X.bar1)) - xgr.mean = cut(log1p(X.bar1[ix.keep.mean]), strata.mean) - xgrd.mean = cut(log1p(X.bar1[DEid]), strata.mean) + xgr.mean = cut(log2(X.bar1[ix.keep.mean]+1), strata.mean) + xgrd.mean = cut(log2(X.bar1[DEid]+1), strata.mean) # dispersion X.disp1 = disp[,j,i] ix.keep.disps = which(!is.na(X.disp1)) - xgr.disps = cut(log1p(X.disp1[ix.keep.disps]), strata.disps) - xgrd.disps = cut(log1p(X.disp1[DEid]), strata.disps) + xgr.disps = cut(log2(X.disp1[ix.keep.disps]+1), strata.disps) + xgrd.disps = cut(log2(X.disp1[DEid]+1), strata.disps) # dropout X.drop1 = dropout[,j,i] ix.keep.drop = which(!is.na(X.drop1)) @@ -698,8 +698,8 @@ evaluateDE <- function(simRes, alpha.type=c("adjusted","raw"), fix.keep.mean = ix.keep.mean[!(xgr.mean %in% lev.mean[strata.filt.mean])] fix.dekeep.mean = intersect(fix.keep.mean, DEid) # recut - fxgr.mean = cut(log1p(X.bar1[fix.keep.mean]), strata.mean[-strata.filt.mean]) - fxgrd.mean = cut(log1p(X.bar1[fix.dekeep.mean]), strata.mean[-strata.filt.mean]) + fxgr.mean = cut(log2(X.bar1[fix.keep.mean]+1), strata.mean[-strata.filt.mean]) + fxgrd.mean = cut(log2(X.bar1[fix.dekeep.mean]+1), strata.mean[-strata.filt.mean]) } if(filter.by == "dispersion") { lev.disps = levels(xgr.disps) @@ -707,8 +707,8 @@ evaluateDE <- function(simRes, alpha.type=c("adjusted","raw"), fix.keep.mean = ix.keep.mean[!(xgr.disps %in% lev.disps[strata.filt.disps])] fix.dekeep.mean = intersect(fix.keep.mean, DEid) # recut - fxgr.mean = cut(log1p(X.bar1[fix.keep.mean]), strata.mean) - fxgrd.mean = cut(log1p(X.bar1[fix.dekeep.mean]), strata.mean) + fxgr.mean = cut(log2(X.bar1[fix.keep.mean]+1), strata.mean) + fxgrd.mean = cut(log2(X.bar1[fix.dekeep.mean]+1), strata.mean) } if(filter.by == "dropout") { lev.drop = levels(xgr.drop) @@ -716,8 +716,8 @@ evaluateDE <- function(simRes, alpha.type=c("adjusted","raw"), fix.keep.mean = ix.keep.mean[!(xgr.drop %in% lev.drop[strata.filt.drop])] fix.dekeep.mean = intersect(fix.keep.mean, DEid) # recut - fxgr.mean = cut(log1p(X.bar1[fix.keep.mean]), strata.mean) - fxgrd.mean = cut(log1p(X.bar1[fix.dekeep.mean]), strata.mean) + fxgr.mean = cut(log2(X.bar1[fix.keep.mean]+1), strata.mean) + fxgrd.mean = cut(log2(X.bar1[fix.dekeep.mean]+1), strata.mean) } if(filter.by == "none") { fix.keep.mean = ix.keep.mean @@ -733,8 +733,8 @@ evaluateDE <- function(simRes, alpha.type=c("adjusted","raw"), fix.keep.disps = ix.keep.disps[!(xgr.mean %in% lev.mean[strata.filt.mean])] fix.dekeep.disps = intersect(fix.keep.disps, DEid) # recut - fxgr.disps = cut(log1p(X.disp1[fix.keep.disps]), strata.disps) - fxgrd.disps = cut(log1p(X.disp1[fix.dekeep.disps]), strata.disps) + fxgr.disps = cut(log2(X.disp1[fix.keep.disps]+1), strata.disps) + fxgrd.disps = cut(log2(X.disp1[fix.dekeep.disps]+1), strata.disps) } if(filter.by == "dispersion") { lev.disps = levels(xgr.disps) @@ -743,8 +743,8 @@ evaluateDE <- function(simRes, alpha.type=c("adjusted","raw"), fix.dekeep.disps = intersect(fix.keep.disps, DEid) strata.filt.disps = length(strata.disps) - strata.filtered # recut - fxgr.disps = cut(log1p(X.disp1[fix.keep.disps]), strata.disps[1:strata.filt.disps]) - fxgrd.disps = cut(log1p(X.disp1[fix.dekeep.disps]), strata.disps[1:strata.filt.disps]) + fxgr.disps = cut(log2(X.disp1[fix.keep.disps]+1), strata.disps[1:strata.filt.disps]) + fxgrd.disps = cut(log2(X.disp1[fix.dekeep.disps]+1), strata.disps[1:strata.filt.disps]) } if(filter.by == "dropout") { lev.drop = levels(xgr.drop) @@ -879,7 +879,7 @@ evaluateDE <- function(simRes, alpha.type=c("adjusted","raw"), "DESeq2", "ROTS", "MAST", "scde", "BPSC", "scDD", "monocle", "DECENT", "edgeR-zingeR", "edgeR-ZINB-WaVE", "DESeq2-zingeR", "DESeq2-ZINB-WaVE")) { pval = pvalue[ix.keep,j,i] - meanexpr = log1p(mu[ix.keep,j,i]) + meanexpr = log2(mu[ix.keep,j,i]+1) if(MTC %in% stats::p.adjust.methods) { x = stats::p.adjust(pval, method = MTC) x[is.na(x)] = 1 diff --git a/R/Plot.R b/R/Plot.R index 2f172c8..19b8364 100644 --- a/R/Plot.R +++ b/R/Plot.R @@ -275,7 +275,7 @@ plotSpike <- function(estSpike, Annot = TRUE) { ggplot2::geom_point(data = cal.info.dat, ggplot2::aes_(x=quote(LSpikeInput), y=quote(LExpectation))) + - ggplot2::geom_smooth(method='lm',formula=y~x) + + ggplot2::geom_smooth(method=lm,formula=y~x) + ggplot2::annotate("text", label = paste0("italic(R) ^ 2 == ", round(Calibration$Rsquared, digits = 2), "%+-%", @@ -298,7 +298,7 @@ plotSpike <- function(estSpike, Annot = TRUE) { ggplot2::aes_(x=quote(LSpikeInput), y=quote(p_success))) + ggplot2::geom_point() + - ggplot2::geom_smooth(method="glm", + ggplot2::geom_smooth(method=glm, method.args = list(family = "binomial"), se=T) + ggplot2::scale_x_log10(labels=c("0.1","1","10","100","1,000"),breaks=c(0.1,1,10,100,1000)) + ggplot2::annotation_logticks(sides = "b") + @@ -443,7 +443,7 @@ plotEvalDE <- function(evalRes, rate=c('marginal', 'conditional'), quick=TRUE, A y = quote(value), group = quote(L1), color = quote(L1)), - fun.y = mean, geom="line") + + fun = mean, geom="line") + ggplot2::geom_hline(data = refval, ggplot2::aes_(yintercept = quote(ref)), linetype="dashed", @@ -515,7 +515,7 @@ plotEvalDE <- function(evalRes, rate=c('marginal', 'conditional'), quick=TRUE, A y = quote(value), group = quote(Var2), color = quote(Var2)), - fun.y = mean, geom="line") + + fun = mean, geom="line") + ggplot2::geom_hline(data = refval, ggplot2::aes_(yintercept = quote(ref)), linetype="dashed", diff --git a/R/Setup.R b/R/Setup.R index 77728d8..47bf28c 100644 --- a/R/Setup.R +++ b/R/Setup.R @@ -32,7 +32,7 @@ #' (3) a function that takes an integer n, and generates a vector of length n, #' e.g. function(x) rnorm(x, mean=0, sd=1.5). #' Default is \code{1}. -#' Please note that the fold change should be on \code{\link[base]{log1p}} scale! +#' Please note that the fold change should be on \code{\link[base]{log2}} scale! #' @param p.G Numeric vector indicating the proportion of replicates per group #' that express the phenotypic fold change. Default is \code{1}, this means all show the expressiond difference. #' For example, if \code{0.5} and \code{n1 = 10} and \code{n2 = 8}, @@ -49,7 +49,7 @@ #' e.g. function(x) rnorm(x, mean=0, sd=1.5). #' Note that the simulations of only two batches is implemented. #' Default is \code{NULL}, i.e. no batch effect. -#' Please note that the fold change should be on \code{\link[base]{log1p}} scale! +#' Please note that the fold change should be on \code{\link[base]{log2}} scale! #' @param bPattern Character vector for batch effect pattern if \code{p.B} is non-null. #' Possible options include: #' "uncorrelated", "orthogonal" and " correlated". diff --git a/R/utils_DEdetection.R b/R/utils_DEdetection.R index 979e207..8c5d2d9 100644 --- a/R/utils_DEdetection.R +++ b/R/utils_DEdetection.R @@ -952,7 +952,7 @@ # MAST -------------------------------------------------------------------- -#' @importFrom MAST FromMatrix zlm.SingleCellAssay lrTest summary +#' @importFrom MAST FromMatrix lrTest summary #' @importFrom S4Vectors mcols # #' @importFrom AnnotationDbi as.list #' @importFrom edgeR DGEList diff --git a/R/utils_estimate.R b/R/utils_estimate.R index c43e79d..d130e03 100644 --- a/R/utils_estimate.R +++ b/R/utils_estimate.R @@ -1,7 +1,7 @@ # checkup ----------------------------------------------------------------- #' @importFrom SingleCellExperiment SingleCellExperiment -#' @importFrom scater isOutlier calcAverage +#' @importFrom scater isOutlier #' @importFrom BiocGenerics counts .run.checkup <- function(countData, readData, @@ -577,7 +577,6 @@ return(res) } -#' @importFrom DEDS comp.FC .run.params <- function(countData, normData, group) { if (attr(normData, 'normFramework') %in% c('SCnorm', "Linnorm")) { @@ -606,8 +605,7 @@ # calculate log fold changes - fc.foo = DEDS::comp.FC(L=group, is.log = T, FUN = mean) - lfc = fc.foo(log1p(norm.counts)) + lfc = .comp.FC(X = log2(norm.counts+1), L=group, is.log = T, FUN = mean) res = data.frame(geneIndex=rownames(countData), means=means, @@ -618,6 +616,17 @@ return(res) } +.comp.FC <- function(X, L, is.log=TRUE, FUN=mean) { + if (is.vector(X)) X <- matrix(X, byrow=TRUE) + G1 <- X[, L == 1] + G2 <- X[, L == -1] + m1 <- apply(G1,1,FUN,na.rm=TRUE) + m2 <- apply(G2,1,FUN,na.rm=TRUE) + if (is.log) fc <- m1-m2 + else fc <- m1/m2 + return(fc) +} + # Fitting ----------------------------------------------------------------- #' @importFrom reshape2 melt @@ -689,9 +698,9 @@ disp = disp[sharedgenes] size = size[sharedgenes] - ldisp = log1p(disp) - lsize = log1p(size) - lmu = log1p(mu) + ldisp = log2(disp+1) + lsize = log2(size+1) + lmu = log2(mu+1) estG <- length(sharedgenes) estS <- ParamData$nsamples @@ -761,9 +770,9 @@ disp = disp[sharedgenes] size = size[sharedgenes] - ldisp = log1p(disp) - lsize = log1p(size) - lmu = log1p(mu) + ldisp = log2(disp+1) + lsize = log2(size+1) + lmu = log2(mu+1) estG <- length(sharedgenes) estS <- ParamData$nsamples @@ -879,7 +888,7 @@ cobs.predict.nonamplified <- as.data.frame(stats::predict(cobs.fit.nonamplified, cobs.sim.nonamplified)) cobs.predict.nonamplified[,"fit"] <- ifelse(cobs.predict.nonamplified$fit < 0, 0, cobs.predict.nonamplified[,"fit"]) cobs.predict.nonamplified <- cobs.predict.nonamplified[cobs.predict.nonamplified[,'fit'] < 0.05,] - g0.cut.nonamplified <- log1p(10) + g0.cut.nonamplified <- log2(10) nonamplified.dat <- cbind.data.frame(lmu.nonamplified, g0.nonamplified) nonamplified.dat <- nonamplified.dat[stats::complete.cases(nonamplified.dat),] nonamplified.dat <- nonamplified.dat[nonamplified.dat$lmu.nonamplified "3.6.0"){ + if(strsplit(version[['version.string']], ' ')[[1]][3] > "4.0.0"){ if (!requireNamespace("BiocManager")){ install.packages("BiocManager") } BiocManager::install(new.pkg, dependencies=TRUE, ask=FALSE) } if(strsplit(version[['version.string']], ' ')[[1]][3] < "3.6.0"){ - stop(message("powsimR depends on packages that are only available in R 3.6.0 and higher.")) + stop(message("powsimR depends on packages and functions that are only available in R 4.0.0 and higher.")) } } if(repository=='github') { @@ -56,7 +56,7 @@ ipak <- function(pkg, repository=c('CRAN', 'Bioconductor', 'github')){ cranpackages <- c("broom", "cobs", "cowplot", "data.table", "doParallel", "dplyr", "DrImpute", "fastICA", "fitdistrplus", "foreach", "future", - "gamlss.dist", "ggplot2", "ggpubr", "grDevices", + "gamlss.dist", "ggplot2", "ggpubr", "ggstance", "grDevices", "grid", "Hmisc", "kernlab", "MASS", "magrittr", "MBESS", "Matrix", "matrixStats", "mclust", "methods", "minpack.lm", "moments", "msir", "NBPSeq", "nonnest2", "parallel", "penalized", "plyr", "pscl", @@ -66,7 +66,7 @@ ipak(cranpackages, repository='CRAN') # BIOCONDUCTOR biocpackages <- c("bayNorm", "baySeq", "BiocGenerics", "BiocParallel", - "DEDS", "DESeq2", "EBSeq", "edgeR", "IHW", "iCOBRA", + "DESeq2", "EBSeq", "edgeR", "IHW", "iCOBRA", "limma", "Linnorm", "MAST", "monocle", "NOISeq", "qvalue", "ROTS", "RUVSeq", "S4Vectors", "scater", "scDD", "scde", "scone", "scran", "SCnorm", "SingleCellExperiment", "SummarizedExperiment", "zinbwave") @@ -77,7 +77,6 @@ githubpackages <- c('cz-ye/DECENT', 'nghiavtr/BPSC', 'mohuangx/SAVER', 'statOmics/zingeR', 'Vivianstats/scImpute') ipak(githubpackages, repository = 'github') - ``` To check whether all dependencies are installed, you can run the following lines: diff --git a/README.md b/README.md index bdd9112..a06d43f 100644 --- a/README.md +++ b/README.md @@ -31,14 +31,14 @@ ipak <- function(pkg, repository = c("CRAN", "Bioconductor", "github")) { install.packages(new.pkg, dependencies = TRUE) } if (repository == "Bioconductor") { - if (strsplit(version[["version.string"]], " ")[[1]][3] > "3.6.0") { + if (strsplit(version[["version.string"]], " ")[[1]][3] > "4.0.0") { if (!requireNamespace("BiocManager")) { install.packages("BiocManager") } BiocManager::install(new.pkg, dependencies = TRUE, ask = FALSE) } if (strsplit(version[["version.string"]], " ")[[1]][3] < "3.6.0") { - stop(message("powsimR depends on packages that are only available in R 3.6.0 and higher.")) + stop(message("powsimR depends on packages and functions that are only available in R 4.0.0 and higher.")) } } if (repository == "github") { @@ -51,15 +51,15 @@ ipak <- function(pkg, repository = c("CRAN", "Bioconductor", "github")) { # CRAN PACKAGES cranpackages <- c("broom", "cobs", "cowplot", "data.table", "doParallel", "dplyr", "DrImpute", "fastICA", "fitdistrplus", "foreach", "future", "gamlss.dist", "ggplot2", - "ggpubr", "grDevices", "grid", "Hmisc", "kernlab", "MASS", "magrittr", "MBESS", - "Matrix", "matrixStats", "mclust", "methods", "minpack.lm", "moments", "msir", - "NBPSeq", "nonnest2", "parallel", "penalized", "plyr", "pscl", "reshape2", "Rmagic", - "rsvd", "Rtsne", "scales", "Seurat", "snow", "sctransform", "stats", "tibble", - "tidyr", "truncnorm", "VGAM", "ZIM", "zoo") + "ggpubr", "ggstance", "grDevices", "grid", "Hmisc", "kernlab", "MASS", "magrittr", + "MBESS", "Matrix", "matrixStats", "mclust", "methods", "minpack.lm", "moments", + "msir", "NBPSeq", "nonnest2", "parallel", "penalized", "plyr", "pscl", "reshape2", + "Rmagic", "rsvd", "Rtsne", "scales", "Seurat", "snow", "sctransform", "stats", + "tibble", "tidyr", "truncnorm", "VGAM", "ZIM", "zoo") ipak(cranpackages, repository = "CRAN") # BIOCONDUCTOR -biocpackages <- c("bayNorm", "baySeq", "BiocGenerics", "BiocParallel", "DEDS", "DESeq2", +biocpackages <- c("bayNorm", "baySeq", "BiocGenerics", "BiocParallel", "DESeq2", "EBSeq", "edgeR", "IHW", "iCOBRA", "limma", "Linnorm", "MAST", "monocle", "NOISeq", "qvalue", "ROTS", "RUVSeq", "S4Vectors", "scater", "scDD", "scde", "scone", "scran", "SCnorm", "SingleCellExperiment", "SummarizedExperiment", "zinbwave") @@ -173,12 +173,18 @@ library(powsimR) #> Loading required package: MASS #> Warning: replacing previous import 'DECENT::lrTest' by 'MAST::lrTest' when #> loading 'powsimR' +#> Registered S3 methods overwritten by 'lme4': +#> method from +#> cooks.distance.influence.merMod car +#> influence.merMod car +#> dfbeta.influence.merMod car +#> dfbetas.influence.merMod car #> Warning: replacing previous import 'penalized::predict' by 'stats::predict' when #> loading 'powsimR' #> Warning: replacing previous import 'zinbwave::glmWeightedF' by #> 'zingeR::glmWeightedF' when loading 'powsimR' sessionInfo() -#> R version 3.6.2 (2019-12-12) +#> R version 4.0.1 (2020-06-06) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 18.04.4 LTS #> @@ -198,147 +204,150 @@ sessionInfo() #> [1] stats graphics grDevices utils datasets methods base #> #> other attached packages: -#> [1] powsimR_1.2.0 gamlss.dist_5.1-6 MASS_7.3-51.5 +#> [1] powsimR_1.2.2 gamlss.dist_5.1-6 MASS_7.3-51.6 #> #> loaded via a namespace (and not attached): #> [1] mixtools_1.2.0 softImpute_1.4 -#> [3] minpack.lm_1.2-1 lattice_0.20-38 -#> [5] vctrs_0.2.2 fastICA_1.2-2 -#> [7] mgcv_1.8-31 penalized_0.9-51 -#> [9] blob_1.2.1 survival_3.1-8 -#> [11] Rmagic_2.0.3 later_1.0.0 -#> [13] nloptr_1.2.1 DBI_1.1.0 -#> [15] R.utils_2.9.2 SingleCellExperiment_1.8.0 -#> [17] rappdirs_0.3.1 Linnorm_2.10.0 -#> [19] dqrng_0.2.1 jpeg_0.1-8.1 -#> [21] zlibbioc_1.32.0 MatrixModels_0.4-1 -#> [23] htmlwidgets_1.5.1 mvtnorm_1.0-12 -#> [25] future_1.16.0 UpSetR_1.4.0 -#> [27] parallel_3.6.2 scater_1.14.6 -#> [29] irlba_2.3.3 DEoptimR_1.0-8 -#> [31] Rcpp_1.0.3 KernSmooth_2.23-16 -#> [33] DT_0.12 promises_1.1.0 -#> [35] gdata_2.18.0 DDRTree_0.1.5 -#> [37] DelayedArray_0.12.2 limma_3.42.2 -#> [39] vegan_2.5-6 Hmisc_4.3-1 -#> [41] ShortRead_1.44.3 apcluster_1.4.8 -#> [43] RSpectra_0.16-0 msir_1.3.2 -#> [45] mnormt_1.5-6 digest_0.6.23 -#> [47] png_0.1-7 qlcMatrix_0.9.7 -#> [49] sctransform_0.2.1 cowplot_1.0.0 -#> [51] pkgconfig_2.0.3 docopt_0.6.1 -#> [53] DelayedMatrixStats_1.8.0 ggbeeswarm_0.6.0 -#> [55] iterators_1.0.12 minqa_1.2.4 -#> [57] lavaan_0.6-5 reticulate_1.14 -#> [59] SummarizedExperiment_1.16.1 spam_2.5-1 -#> [61] beeswarm_0.2.3 modeltools_0.2-22 -#> [63] xfun_0.12 zoo_1.8-7 -#> [65] tidyselect_1.0.0 ZIM_1.1.0 -#> [67] reshape2_1.4.3 purrr_0.3.3 -#> [69] kernlab_0.9-29 EDASeq_2.20.0 -#> [71] viridisLite_0.3.0 snow_0.4-3 -#> [73] rtracklayer_1.46.0 rlang_0.4.4 -#> [75] hexbin_1.28.1 glue_1.3.1 -#> [77] RColorBrewer_1.1-2 fpc_2.2-5 -#> [79] matrixStats_0.55.0 stringr_1.4.0 -#> [81] fields_10.3 ggsignif_0.6.0 -#> [83] DESeq2_1.26.0 SparseM_1.78 -#> [85] httpuv_1.5.2 class_7.3-15 -#> [87] BPSC_0.99.2 BiocNeighbors_1.4.1 -#> [89] annotate_1.64.0 jsonlite_1.6.1 -#> [91] XVector_0.26.0 bit_1.1-15.1 -#> [93] mime_0.9 gridExtra_2.3 -#> [95] gplots_3.0.1.2 Rsamtools_2.2.1 -#> [97] zingeR_0.1.0 stringi_1.4.5 -#> [99] gmodels_2.18.1 bitops_1.0-6 -#> [101] maps_3.3.0 RSQLite_2.2.0 -#> [103] tidyr_1.0.2 pheatmap_1.0.12 -#> [105] data.table_1.12.8 DEDS_1.60.0 -#> [107] rstudioapi_0.11 GenomicAlignments_1.22.1 -#> [109] nlme_3.1-144 qvalue_2.18.0 -#> [111] scran_1.14.6 fastcluster_1.1.25 -#> [113] locfit_1.5-9.1 scone_1.10.0 -#> [115] listenv_0.8.0 cobs_1.3-4 -#> [117] R.oo_1.23.0 prabclus_2.3-2 -#> [119] dbplyr_1.4.2 segmented_1.1-0 -#> [121] BiocGenerics_0.32.0 lifecycle_0.1.0 -#> [123] ROTS_1.14.0 munsell_0.5.0 -#> [125] R.methodsS3_1.7.1 moments_0.14 -#> [127] hwriter_1.3.2 caTools_1.18.0 -#> [129] codetools_0.2-16 coda_0.19-3 -#> [131] Biobase_2.46.0 GenomeInfoDb_1.22.0 -#> [133] vipor_0.4.5 htmlTable_1.13.3 -#> [135] bayNorm_1.4.14 lsei_1.2-0 -#> [137] rARPACK_0.11-0 xtable_1.8-4 -#> [139] SAVER_1.1.2 ROCR_1.0-7 -#> [141] diptest_0.75-7 formatR_1.7 -#> [143] lpsymphony_1.14.0 abind_1.4-5 -#> [145] FNN_1.1.3 RANN_2.6.1 -#> [147] askpass_1.1 sparsesvd_0.2 -#> [149] CompQuadForm_1.4.3 GenomicRanges_1.38.0 -#> [151] tibble_2.1.3 ggdendro_0.1-20 -#> [153] cluster_2.1.0 future.apply_1.4.0 -#> [155] Matrix_1.2-18 prettyunits_1.1.1 -#> [157] shinyBS_0.61 NOISeq_2.30.0 -#> [159] shinydashboard_0.7.1 mclust_5.4.5 -#> [161] igraph_1.2.4.2 ggstance_0.3.3 -#> [163] slam_0.1-47 testthat_2.3.1 -#> [165] doSNOW_1.0.18 htmltools_0.4.0 -#> [167] BiocFileCache_1.10.2 yaml_2.2.1 -#> [169] GenomicFeatures_1.38.1 XML_3.99-0.3 -#> [171] ggpubr_0.2.4 DrImpute_1.0 -#> [173] foreign_0.8-75 fitdistrplus_1.0-14 -#> [175] BiocParallel_1.20.1 aroma.light_3.16.0 -#> [177] bit64_0.9-7 rngtools_1.5 -#> [179] doRNG_1.8.2 foreach_1.4.8 -#> [181] robustbase_0.93-5 outliers_0.14 -#> [183] Biostrings_2.54.0 combinat_0.0-8 -#> [185] rsvd_1.0.2 iCOBRA_1.14.0 -#> [187] memoise_1.1.0 evaluate_0.14 -#> [189] VGAM_1.1-2 nonnest2_0.5-2 -#> [191] geneplotter_1.64.0 permute_0.9-5 -#> [193] curl_4.3 fdrtool_1.2.15 -#> [195] acepack_1.4.1 edgeR_3.28.0 -#> [197] checkmate_2.0.0 npsurv_0.4-0 -#> [199] truncnorm_1.0-8 DECENT_1.1.0 -#> [201] tensorA_0.36.1 ellipse_0.4.1 -#> [203] ggplot2_3.2.1 ggrepel_0.8.1 -#> [205] scDD_1.10.0 tools_3.6.2 -#> [207] sandwich_2.5-1 magrittr_1.5 -#> [209] RCurl_1.98-1.1 pbivnorm_0.6.0 -#> [211] bayesm_3.1-4 EBSeq_1.26.0 -#> [213] httr_1.4.1 assertthat_0.2.1 -#> [215] rmarkdown_2.1 boot_1.3-24 -#> [217] globals_0.12.5 R6_2.4.1 -#> [219] Rhdf5lib_1.8.0 nnet_7.3-12 -#> [221] progress_1.2.2 genefilter_1.68.0 -#> [223] gtools_3.8.1 statmod_1.4.33 -#> [225] BiocSingular_1.2.1 rhdf5_2.30.1 -#> [227] splines_3.6.2 colorspace_1.4-1 -#> [229] amap_0.8-18 generics_0.0.2 -#> [231] stats4_3.6.2 NBPSeq_0.3.0 -#> [233] base64enc_0.1-3 compositions_1.40-3 -#> [235] baySeq_2.20.0 pillar_1.4.3 -#> [237] HSMMSingleCell_1.6.0 GenomeInfoDbData_1.2.2 -#> [239] plyr_1.8.5 dotCall64_1.0-0 -#> [241] gtable_0.3.0 SCnorm_1.8.2 -#> [243] monocle_2.14.0 knitr_1.28 -#> [245] RcppArmadillo_0.9.850.1.0 latticeExtra_0.6-29 -#> [247] biomaRt_2.42.0 IRanges_2.20.2 -#> [249] fastmap_1.0.1 doParallel_1.0.15 -#> [251] pscl_1.5.2 flexmix_2.3-15 -#> [253] quantreg_5.54 AnnotationDbi_1.48.0 -#> [255] broom_0.5.4 openssl_1.4.1 -#> [257] scales_1.1.0 arm_1.10-1 -#> [259] backports_1.1.5 plotrix_3.7-7 -#> [261] IHW_1.14.0 S4Vectors_0.24.3 -#> [263] densityClust_0.3 lme4_1.1-21 -#> [265] hms_0.5.3 DESeq_1.38.0 -#> [267] Rtsne_0.15 dplyr_0.8.4 -#> [269] shiny_1.4.0 grid_3.6.2 -#> [271] lazyeval_0.2.2 Formula_1.2-3 -#> [273] blockmodeling_0.3.4 crayon_1.3.4 -#> [275] MAST_1.12.0 RUVSeq_1.20.0 -#> [277] viridis_0.5.1 rpart_4.1-15 -#> [279] zinbwave_1.8.0 compiler_3.6.2 +#> [3] minpack.lm_1.2-1 lattice_0.20-41 +#> [5] haven_2.3.1 vctrs_0.3.1 +#> [7] fastICA_1.2-2 mgcv_1.8-31 +#> [9] penalized_0.9-51 blob_1.2.1 +#> [11] survival_3.2-3 Rmagic_2.0.3 +#> [13] later_1.1.0.1 nloptr_1.2.2.1 +#> [15] DBI_1.1.0 R.utils_2.9.2 +#> [17] SingleCellExperiment_1.10.1 rappdirs_0.3.1 +#> [19] Linnorm_2.12.0 dqrng_0.2.1 +#> [21] jpeg_0.1-8.1 zlibbioc_1.34.0 +#> [23] MatrixModels_0.4-1 htmlwidgets_1.5.1 +#> [25] mvtnorm_1.1-1 future_1.17.0 +#> [27] UpSetR_1.4.0 parallel_4.0.1 +#> [29] scater_1.16.1 irlba_2.3.3 +#> [31] DEoptimR_1.0-8 Rcpp_1.0.4.6 +#> [33] KernSmooth_2.23-17 DT_0.13 +#> [35] promises_1.1.1 gdata_2.18.0 +#> [37] DDRTree_0.1.5 DelayedArray_0.14.0 +#> [39] limma_3.44.3 vegan_2.5-6 +#> [41] Hmisc_4.4-0 ShortRead_1.46.0 +#> [43] apcluster_1.4.8 RSpectra_0.16-0 +#> [45] msir_1.3.2 mnormt_2.0.0 +#> [47] digest_0.6.25 png_0.1-7 +#> [49] qlcMatrix_0.9.7 sctransform_0.2.1 +#> [51] cowplot_1.0.0 pkgconfig_2.0.3 +#> [53] docopt_0.6.1 DelayedMatrixStats_1.10.0 +#> [55] ggbeeswarm_0.6.0 iterators_1.0.12 +#> [57] minqa_1.2.4 lavaan_0.6-6 +#> [59] reticulate_1.16 SummarizedExperiment_1.18.1 +#> [61] spam_2.5-1 beeswarm_0.2.3 +#> [63] modeltools_0.2-23 xfun_0.14 +#> [65] zoo_1.8-8 tidyselect_1.1.0 +#> [67] ZIM_1.1.0 reshape2_1.4.4 +#> [69] purrr_0.3.4 kernlab_0.9-29 +#> [71] EDASeq_2.22.0 viridisLite_0.3.0 +#> [73] snow_0.4-3 rtracklayer_1.48.0 +#> [75] rlang_0.4.6 hexbin_1.28.1 +#> [77] glue_1.4.1 RColorBrewer_1.1-2 +#> [79] fpc_2.2-5 matrixStats_0.56.0 +#> [81] stringr_1.4.0 fields_10.3 +#> [83] ggsignif_0.6.0 DESeq2_1.28.1 +#> [85] SparseM_1.78 httpuv_1.5.4 +#> [87] class_7.3-17 BPSC_0.99.2 +#> [89] BiocNeighbors_1.6.0 annotate_1.66.0 +#> [91] jsonlite_1.6.1 XVector_0.28.0 +#> [93] tmvnsim_1.0-2 bit_1.1-15.2 +#> [95] mime_0.9 gridExtra_2.3 +#> [97] gplots_3.0.3 Rsamtools_2.4.0 +#> [99] zingeR_0.1.0 stringi_1.4.6 +#> [101] gmodels_2.18.1 bitops_1.0-6 +#> [103] maps_3.3.0 RSQLite_2.2.0 +#> [105] tidyr_1.1.0 pheatmap_1.0.12 +#> [107] data.table_1.12.8 rstudioapi_0.11 +#> [109] GenomicAlignments_1.24.0 nlme_3.1-148 +#> [111] qvalue_2.20.0 scran_1.16.0 +#> [113] fastcluster_1.1.25 locfit_1.5-9.4 +#> [115] scone_1.12.0 listenv_0.8.0 +#> [117] cobs_1.3-4 R.oo_1.23.0 +#> [119] prabclus_2.3-2 dbplyr_1.4.4 +#> [121] segmented_1.1-0 BiocGenerics_0.34.0 +#> [123] readxl_1.3.1 lifecycle_0.2.0 +#> [125] ROTS_1.16.0 munsell_0.5.0 +#> [127] cellranger_1.1.0 R.methodsS3_1.8.0 +#> [129] moments_0.14 hwriter_1.3.2 +#> [131] caTools_1.18.0 codetools_0.2-16 +#> [133] coda_0.19-3 Biobase_2.48.0 +#> [135] GenomeInfoDb_1.24.2 vipor_0.4.5 +#> [137] htmlTable_1.13.3 bayNorm_1.6.0 +#> [139] rARPACK_0.11-0 xtable_1.8-4 +#> [141] SAVER_1.1.2 ROCR_1.0-11 +#> [143] diptest_0.75-7 formatR_1.7 +#> [145] lpsymphony_1.16.0 abind_1.4-5 +#> [147] FNN_1.1.3 RANN_2.6.1 +#> [149] askpass_1.1 sparsesvd_0.2 +#> [151] CompQuadForm_1.4.3 GenomicRanges_1.40.0 +#> [153] tibble_3.0.1 ggdendro_0.1-20 +#> [155] cluster_2.1.0 future.apply_1.5.0 +#> [157] Matrix_1.2-18 ellipsis_0.3.1 +#> [159] prettyunits_1.1.1 shinyBS_0.61 +#> [161] NOISeq_2.31.0 shinydashboard_0.7.1 +#> [163] mclust_5.4.6 igraph_1.2.5 +#> [165] ggstance_0.3.4 slam_0.1-47 +#> [167] testthat_2.3.2 doSNOW_1.0.18 +#> [169] htmltools_0.5.0 BiocFileCache_1.12.0 +#> [171] yaml_2.2.1 GenomicFeatures_1.40.0 +#> [173] XML_3.99-0.3 ggpubr_0.3.0 +#> [175] DrImpute_1.0 foreign_0.8-80 +#> [177] fitdistrplus_1.1-1 BiocParallel_1.22.0 +#> [179] aroma.light_3.18.0 bit64_0.9-7 +#> [181] foreach_1.5.0 robustbase_0.93-6 +#> [183] outliers_0.14 Biostrings_2.56.0 +#> [185] combinat_0.0-8 rsvd_1.0.3 +#> [187] iCOBRA_1.16.0 memoise_1.1.0 +#> [189] evaluate_0.14 VGAM_1.1-3 +#> [191] nonnest2_0.5-3 forcats_0.5.0 +#> [193] rio_0.5.16 geneplotter_1.66.0 +#> [195] permute_0.9-5 curl_4.3 +#> [197] fdrtool_1.2.15 acepack_1.4.1 +#> [199] edgeR_3.30.3 checkmate_2.0.0 +#> [201] truncnorm_1.0-8 DECENT_1.1.0 +#> [203] tensorA_0.36.1 ellipse_0.4.2 +#> [205] ggplot2_3.3.1 openxlsx_4.1.5 +#> [207] rstatix_0.5.0 ggrepel_0.8.2 +#> [209] scDD_1.12.0 tools_4.0.1 +#> [211] sandwich_2.5-1 magrittr_1.5 +#> [213] RCurl_1.98-1.2 car_3.0-8 +#> [215] pbivnorm_0.6.0 bayesm_3.1-4 +#> [217] EBSeq_1.28.0 httr_1.4.1 +#> [219] assertthat_0.2.1 rmarkdown_2.2 +#> [221] boot_1.3-25 globals_0.12.5 +#> [223] R6_2.4.1 Rhdf5lib_1.10.0 +#> [225] nnet_7.3-14 progress_1.2.2 +#> [227] genefilter_1.70.0 gtools_3.8.2 +#> [229] statmod_1.4.34 BiocSingular_1.4.0 +#> [231] rhdf5_2.32.0 splines_4.0.1 +#> [233] carData_3.0-4 colorspace_1.4-1 +#> [235] amap_0.8-18 generics_0.0.2 +#> [237] stats4_4.0.1 NBPSeq_0.3.0 +#> [239] base64enc_0.1-3 compositions_1.40-5 +#> [241] baySeq_2.22.0 pillar_1.4.4 +#> [243] HSMMSingleCell_1.8.0 GenomeInfoDbData_1.2.3 +#> [245] plyr_1.8.6 dotCall64_1.0-0 +#> [247] gtable_0.3.0 zip_2.0.4 +#> [249] SCnorm_1.10.0 monocle_2.16.0 +#> [251] knitr_1.28 RcppArmadillo_0.9.900.1.0 +#> [253] latticeExtra_0.6-29 biomaRt_2.44.0 +#> [255] IRanges_2.22.2 fastmap_1.0.1 +#> [257] doParallel_1.0.15 pscl_1.5.5 +#> [259] flexmix_2.3-15 quantreg_5.55 +#> [261] AnnotationDbi_1.50.0 broom_0.5.6 +#> [263] openssl_1.4.1 scales_1.1.1 +#> [265] arm_1.11-1 backports_1.1.8 +#> [267] plotrix_3.7-8 IHW_1.16.0 +#> [269] S4Vectors_0.26.1 densityClust_0.3 +#> [271] lme4_1.1-23 hms_0.5.3 +#> [273] DESeq_1.39.0 Rtsne_0.15 +#> [275] dplyr_1.0.0 shiny_1.4.0.2 +#> [277] grid_4.0.1 Formula_1.2-3 +#> [279] blockmodeling_0.3.6 crayon_1.3.4 +#> [281] MAST_1.14.0 RUVSeq_1.22.0 +#> [283] viridis_0.5.1 rpart_4.1-15 +#> [285] zinbwave_1.10.0 compiler_4.0.1 ``` diff --git a/doc/powsimR.R b/doc/powsimR.R index 4bede8b..28577aa 100644 --- a/doc/powsimR.R +++ b/doc/powsimR.R @@ -45,7 +45,7 @@ opts_knit$set(width = 75) # cranpackages <- c("broom", "cobs", "cowplot", # "data.table", "doParallel", "dplyr", "DrImpute", # "fastICA", "fitdistrplus", "foreach", "future", -# "gamlss.dist", "ggplot2", "ggpubr", "grDevices", +# "gamlss.dist", "ggplot2", "ggpubr", "ggstance", "grDevices", # "grid", "Hmisc", "kernlab", "MASS", "magrittr", "MBESS", "Matrix", # "matrixStats", "mclust", "methods", "minpack.lm", "moments", "msir", # "NBPSeq", "nonnest2", "parallel", "penalized", "plyr", "pscl", @@ -55,7 +55,7 @@ opts_knit$set(width = 75) # # # BIOCONDUCTOR # biocpackages <- c("bayNorm", "baySeq", "BiocGenerics", "BiocParallel", -# "DEDS", "DESeq2", "EBSeq", "edgeR", "IHW", "iCOBRA", +# "DESeq2", "EBSeq", "edgeR", "IHW", "iCOBRA", # "limma", "Linnorm", "MAST", "monocle", "NOISeq", "qvalue", "ROTS", "RUVSeq", # "S4Vectors", "scater", "scDD", "scde", "scone", "scran", "SCnorm", # "SingleCellExperiment", "SummarizedExperiment", "zinbwave") @@ -95,8 +95,10 @@ knitr::include_graphics("powsimr_workflow.png") ## ----geneparams, echo=T, eval=F, include=T------------------------------------ # data("CELseq2_Gene_UMI_Counts") -# Batches <- data.frame(Batch = sapply(strsplit(colnames(CELseq2_Gene_UMI_Counts), "_"), "[[", 1), -# stringsAsFactors = FALSE, row.names = colnames(CELseq2_Gene_UMI_Counts)) +# batch <- sapply(strsplit(colnames(CELseq2_Gene_UMI_Counts), "_"), "[[", 1) +# Batches <- data.frame(Batch = batch, +# stringsAsFactors = FALSE, +# row.names = colnames(CELseq2_Gene_UMI_Counts)) # data("GeneLengths_mm10") # # # estimation @@ -120,9 +122,10 @@ knitr::include_graphics("estparam_gene_celseq2.png") ## ----spikeparams, echo=T, eval=F, include=T, warning=F------------------------ # data("CELseq2_SpikeIns_UMI_Counts") # data("CELseq2_SpikeInfo") -# Batches = data.frame(Batch = sapply(strsplit(colnames(CELseq2_SpikeIns_UMI_Counts), "_"), "[[", 1), +# batch = sapply(strsplit(colnames(CELseq2_SpikeIns_UMI_Counts), "_"), "[[", 1) +# Batches = data.frame(Batch = batch, # stringsAsFactors = F, -# row.names = colnames(CELseq2_SpikeInfo)) +# row.names = colnames(CELseq2_SpikeIns_UMI_Counts)) # # estimation # estparam_spike <- estimateSpike(spikeData = CELseq2_SpikeIns_UMI_Counts, # spikeInfo = CELseq2_SpikeInfo, @@ -149,9 +152,9 @@ knitr::include_graphics("lfcdist.png") # n1 = c(48, 96, 384, 800), n2 = c(48, 96, 384, 800), # Thinning = NULL, LibSize = 'equal', # estParamRes = estparam_gene, -# estSpikeRes = estparam_spike, +# estSpikeRes = NULL, # DropGenes = TRUE, -# sim.seed = 5299, verbose = TRUE) +# setup.seed = 5299, verbose = TRUE) # ## ----simrun, eval=F, echo=T--------------------------------------------------- @@ -172,10 +175,15 @@ knitr::include_graphics("lfcdist.png") # target.by = 'lfc', # delta = 0) -## ----evaldeplot1, echo=F, eval=T, fig.cap="Marginal Error Rates. (A) Marginal TPR and FDR per sample size comparison. (B) Marginal TPR and FDR per sample size comparison with dashed line indicating nominal alpha level (type I error) and nominal 1-beta level, i.e. 80% power (type II error)."---- +## ---- echo = TRUE, eval = FALSE----------------------------------------------- +# plotEvalDE(evalRes = evalderes, rate = 'marginal', quick = TRUE, Annot = TRUE) +# plotEvalDE(evalRes = evalderes, rate = 'conditional', quick = TRUE, Annot = TRUE) +# + +## ----evaldeplot1, echo=F, eval=T, fig.cap="Marginal Error Rates. (A) Marginal FDR and TPR per sample size comparison. (B) Marginal FDR and TPR per sample size comparison with dashed line indicating nominal alpha level (type I error) and nominal 1-beta level, i.e. 80% power (type II error)."---- knitr::include_graphics("evalderes_marginal_celseq2.png") -## ----evaldeplot2, echo=F, eval=T, fig.cap="Stratified Error Rates. (A) Conditional TPR and FDR per sample size comparison per stratum. (B) Number of equally (EE) and differentially expressed (DE) genes per stratum."---- +## ----evaldeplot2, echo=F, eval=T, fig.cap="Stratified Error Rates. (A) Conditional FDR and TPR per sample size comparison per stratum. (B) Number of equally (EE) and differentially expressed (DE) genes per stratum."---- knitr::include_graphics("evalderes_conditional_celseq2.png") ## ----evalrocres, echo = T, eval=F--------------------------------------------- @@ -243,8 +251,10 @@ knitr::include_graphics("evaldist_smartseq2.png") ## ----thinning, echo = TRUE, eval = FALSE-------------------------------------- # data("CELseq2_Gene_UMI_Counts") # data("CELseq2_Gene_Read_Counts") -# Batches <- data.frame(Batch = sapply(strsplit(colnames(CELseq2_Gene_UMI_Counts), "_"), "[[", 1), -# stringsAsFactors = FALSE, row.names = colnames(CELseq2_Gene_UMI_Counts)) +# batch <- sapply(strsplit(colnames(CELseq2_Gene_UMI_Counts), "_"), "[[", 1) +# Batches <- data.frame(Batch = batch, +# stringsAsFactors = FALSE, +# row.names = colnames(CELseq2_Gene_UMI_Counts)) # data("GeneLengths_mm10") # # # estimation @@ -272,7 +282,7 @@ knitr::include_graphics("evaldist_smartseq2.png") # estParamRes = estparam_gene, # estSpikeRes = NULL, # DropGenes = TRUE, -# sim.seed = 5299, verbose = TRUE) +# setup.seed = 5299, verbose = TRUE) # # # run simulations # simres <- simulateDE(SetupRes = setupres, diff --git a/doc/powsimR.Rmd b/doc/powsimR.Rmd index 8f2e3f9..b6f077b 100644 --- a/doc/powsimR.Rmd +++ b/doc/powsimR.Rmd @@ -89,7 +89,7 @@ ipak <- function(pkg, repository=c('CRAN', 'Bioconductor', 'github')){ cranpackages <- c("broom", "cobs", "cowplot", "data.table", "doParallel", "dplyr", "DrImpute", "fastICA", "fitdistrplus", "foreach", "future", - "gamlss.dist", "ggplot2", "ggpubr", "grDevices", + "gamlss.dist", "ggplot2", "ggpubr", "ggstance", "grDevices", "grid", "Hmisc", "kernlab", "MASS", "magrittr", "MBESS", "Matrix", "matrixStats", "mclust", "methods", "minpack.lm", "moments", "msir", "NBPSeq", "nonnest2", "parallel", "penalized", "plyr", "pscl", @@ -99,7 +99,7 @@ ipak(cranpackages, repository='CRAN') # BIOCONDUCTOR biocpackages <- c("bayNorm", "baySeq", "BiocGenerics", "BiocParallel", - "DEDS", "DESeq2", "EBSeq", "edgeR", "IHW", "iCOBRA", + "DESeq2", "EBSeq", "edgeR", "IHW", "iCOBRA", "limma", "Linnorm", "MAST", "monocle", "NOISeq", "qvalue", "ROTS", "RUVSeq", "S4Vectors", "scater", "scDD", "scde", "scone", "scran", "SCnorm", "SingleCellExperiment", "SummarizedExperiment", "zinbwave") @@ -181,8 +181,10 @@ With the following command, we estimate and plot the parameters for the mouse em ```{r geneparams, echo=T, eval=F, include=T} data("CELseq2_Gene_UMI_Counts") -Batches <- data.frame(Batch = sapply(strsplit(colnames(CELseq2_Gene_UMI_Counts), "_"), "[[", 1), - stringsAsFactors = FALSE, row.names = colnames(CELseq2_Gene_UMI_Counts)) +batch <- sapply(strsplit(colnames(CELseq2_Gene_UMI_Counts), "_"), "[[", 1) +Batches <- data.frame(Batch = batch, + stringsAsFactors = FALSE, + row.names = colnames(CELseq2_Gene_UMI_Counts)) data("GeneLengths_mm10") # estimation @@ -208,7 +210,7 @@ knitr::include_graphics("estparam_gene_celseq2.png") We have implemented a count simulation framework assuming either a negative binomial distribution or a zero-inflated negative binomial distribution. To predict the dispersion given a random draw of mean expression value observed, we apply a locally weighted polynomial regression fit (solid orange line in Figure \@ref(fig:geneparamsplot) D). To capture the variability of dispersion estimates observed, a local variability prediction band is applied (dashed orange lines in Figure \@ref(fig:geneparamsplot) D). -For bulk RNA-seq experiments, dropouts are less probable but can still occur. To include this phenomenon we sample from the observed dropout rates for genes that have a mean expression value below 5\% dropout probability determined by a decrease constrained B-splines regresssion of dropout rate against mean expression (`cobs`). +For bulk RNA-seq experiments, dropouts are less probable but can still occur. To include this phenomenon we sample from the observed dropout rates for genes that have a mean expression value below 5\% dropout probability determined by a decrease constrained B-splines regression of dropout rate against mean expression (`cobs`). For the zero-inflated negative binomial distribution, the mean-dispersion relation is similarly estimated, but based on positive read counts. Furthermore, the dropouts are also predicted based on a locally weighted polynomial regression fit between mean and dropouts. Of note, this fit is done separately for amplified and non-amplified transcripts and similar proportions of genes as observed are also generated in the simulations [@Ziegenhain2017-sf]. @@ -233,9 +235,10 @@ With the following command, we estimate the parameters for the spike-ins added d ```{r spikeparams, echo=T, eval=F, include=T, warning=F} data("CELseq2_SpikeIns_UMI_Counts") data("CELseq2_SpikeInfo") -Batches = data.frame(Batch = sapply(strsplit(colnames(CELseq2_SpikeIns_UMI_Counts), "_"), "[[", 1), +batch = sapply(strsplit(colnames(CELseq2_SpikeIns_UMI_Counts), "_"), "[[", 1) +Batches = data.frame(Batch = batch, stringsAsFactors = F, - row.names = colnames(CELseq2_SpikeInfo)) + row.names = colnames(CELseq2_SpikeIns_UMI_Counts)) # estimation estparam_spike <- estimateSpike(spikeData = CELseq2_SpikeIns_UMI_Counts, spikeInfo = CELseq2_SpikeInfo, @@ -264,9 +267,10 @@ There is also the possibility to include batch effects, see the Details section knitr::include_graphics("lfcdist.png") ``` -The number of replicates per group (n1 and n2) are also defined in `Setup` which can be unbalanced. These numbers represent either biological replicates for bulk or number of cells for single cell RNA-seq. In addition, the user can choose to include the simulation of dropout genes so that the resulting count matrix has a percentage of dropouts equal to the rate filtered out during estimation. +The number of replicates per group (n1 and n2) are also defined in `Setup` which can be unbalanced. In addition the user can choose to include the simulaiton of dropout genes so that the resulting count matrix has a percentage of dropouts equal to the rate filtered out during estimation. -The distribution estimates and these settings are then combined to one object. +The distribution estimates and these settings are then combined into one object. +The following command sets up simulations with 10,000 genes, 20\% genes being DE, log fold change sampled from a narrow gamma distribution and parameter estimates based on Smartseq2 libraries in Ziegenhain dataset. Please note that I decreased the number of simulations for this illustration. The following command sets up simulations with 10,000 genes, 5\% genes being DE, log fold change sample from a narrow gamma distribution and parameter estimates based on CEL-seq2 libraries in Ziegenhain dataset. The spike-ins are only necessary if we wish to apply imputation, normalisation and/or DE-tools that can utilize spike-ins, see the Details section of `estimateParam()` and `simulateDE()`. @@ -279,9 +283,9 @@ setupres <- Setup(ngenes = 10000, nsims = 25, n1 = c(48, 96, 384, 800), n2 = c(48, 96, 384, 800), Thinning = NULL, LibSize = 'equal', estParamRes = estparam_gene, - estSpikeRes = estparam_spike, + estSpikeRes = NULL, DropGenes = TRUE, - sim.seed = 5299, verbose = TRUE) + setup.seed = 5299, verbose = TRUE) ``` @@ -289,8 +293,8 @@ setupres <- Setup(ngenes = 10000, nsims = 25, With the setup defined, the differential expression simulation is run with `simulateDE`. For this, the user needs to set the following options: -* **DEmethod:** The differential testing method. The user can choose between 20 methods in total. 10 developed for bulk, 9 developed for single cells (see the Details section of `simulateDE`). -* **Normalisation:** The normalisation method. The user can choose between 10 methods in total. 5 developed for bulk, 5 developed for single cells (see the Details section of `simulateDE`). +* **DEmethod:** The differential testing method. The user can choose between 20 methods in total. 10 developed for bulk, 9 developed for single cells (see the Details section of `simulateDE`). +* **Normalisation:** The normalisation method. The user can choose between 10 methods in total. 5 developed for bulk, 5 developed for single cells (see the Details section of `simulateDE`). There are also additional options: Whether to apply a prefiltering or imputation step prior to normalisation; whether spike-in information should be used (if available). For more information, please consult the Details section of `simulateDE`. @@ -302,7 +306,6 @@ simres <- simulateDE(SetupRes = setupres, NCores = NULL, verbose = TRUE) ``` -## Simulating gene expression of cell mixtures # Evaluation {.tabset} @@ -329,16 +332,23 @@ evalderes = evaluateDE(simRes = simres, The results of the evaluation can be plotted with `plotEvalDE()`. +```{r, echo = TRUE, eval = FALSE} +plotEvalDE(evalRes = evalderes, rate = 'marginal', quick = TRUE, Annot = TRUE) +plotEvalDE(evalRes = evalderes, rate = 'conditional', quick = TRUE, Annot = TRUE) + +``` + + * **rate:** The user can choose to plot the 'marginal' or 'stratified' error rates. The number of genes per stratum are also summarised. * **quick:** If this is set to `TRUE` then only the TPR and FDR will be plotted. -The quick marginal and conditional power assessment for the Ziegenhain data is plotted in Figure \@ref(fig:evaldeplot1) and \@ref(fig:evaldeplot2). As expected the power (TPR) to detect differential expression increases with sample size Figure \@ref(fig:evaldeplot1). On the other hand, the ability to control the false detection (FDR) at the chosen nominal level depends on the average expression of DE genes (Figure \@ref(fig:evaldeplot2)). In addition, the detection of true positives with small average expression needs far more replicates per group. +The quick marginal and conditional power assessment for the Ziegenhain data is plotted in Figure \@ref(fig:evaldeplot1) and \@ref(fig:evaldeplot2). As expected the power (TPR) to detect differential expression increases with sample size (Figure \@ref(fig:evaldeplot1)). On the other hand, the ability to control the false detection (FDR) at the chosen nominal level depends on the average expression of DE genes (Figure \@ref(fig:evaldeplot2)). In addition, the detection of true positives with small mean expression needs far more replicates per group. -```{r evaldeplot1, echo=F, eval=T, fig.cap="Marginal Error Rates. (A) Marginal TPR and FDR per sample size comparison. (B) Marginal TPR and FDR per sample size comparison with dashed line indicating nominal alpha level (type I error) and nominal 1-beta level, i.e. 80% power (type II error)."} +```{r evaldeplot1, echo=F, eval=T, fig.cap="Marginal Error Rates. (A) Marginal FDR and TPR per sample size comparison. (B) Marginal FDR and TPR per sample size comparison with dashed line indicating nominal alpha level (type I error) and nominal 1-beta level, i.e. 80% power (type II error)."} knitr::include_graphics("evalderes_marginal_celseq2.png") ``` -```{r evaldeplot2, echo=F, eval=T, fig.cap="Stratified Error Rates. (A) Conditional TPR and FDR per sample size comparison per stratum. (B) Number of equally (EE) and differentially expressed (DE) genes per stratum."} +```{r evaldeplot2, echo=F, eval=T, fig.cap="Stratified Error Rates. (A) Conditional FDR and TPR per sample size comparison per stratum. (B) Number of equally (EE) and differentially expressed (DE) genes per stratum."} knitr::include_graphics("evalderes_conditional_celseq2.png") ``` @@ -450,21 +460,27 @@ knitr::include_graphics("evaldist_smartseq2.png") ## Simulation Settings +### Replicates with partial phenotypic differences + +By default, all replicates per group express the phenotypic differences in gene expression defined by `pLFC`. If the user wishes for a more varied expression profile, i.e. only a proportion of replicates per group with a difference in expression, these patterns can be defined by changing `p.G` (see Details section of `Setup()`). + ### Include differences in library sizes -By default, there is no difference in library sizes between the samples. If the user wishes for a more realistic, i.e. more variable distribution of read counts across samples, the library sizes can be sampled from observed, vector or function. See the Details section of `Setup()`. +By default, there is no difference in library sizes between the samples. If the user wishes for a more realistic, i.e. more variable distribution of read counts across samples, the library sizes can be sampled from observed, vector or function (see Details section of `Setup()`). ### Downsample simulated count matrices by binomial thinning -There is the additional option to downsample simulated count matrices with the option `Thinning` in `Setup` in order to know in how far a shallower sequencing depth affects the power to detect differential expression. For example, the estimation was done using 500 cells and in the simulations we would like to compare two groups with a total of 1000 cells but do not want to increase the sequencing depth compared to the pilot data. Thus we can set the Thinning parameters to 0.5 to half the number of counts per cell. Please note, that the thinning assumes that the count matrix is based on reads, not UMIs. For UMI-methods, please supply the UMI count matrix as `countData` in `estimateParam()` and the raw read count matrix without UMI deduplication as `readData`. For more information, please check out the help page of `estimateParam()`. +There is the additional option to downsample simulated count matrices with the option `Thinning` in `Setup()` in order to know in how far a shallower sequencing depth affects the power to detect differential expression. For example, the estimation was done using 500 cells and in the simulations we would like to compare two groups with a total of 1000 cells but do not want to increase the sequencing depth compared to the pilot data. Thus we can set the Thinning parameters to 0.5 to half the number of counts per cell. Please note, that the thinning assumes that the count matrix is based on reads, not UMIs. For UMI-methods, please supply the UMI count matrix as `countData` in `estimateParam()` and the raw read count matrix without UMI deduplication as `readData`. For more information, please check out the help page of `estimateParam()`. Below you can find an example script using the CELSeq2 libraries from Ziegenhain et al.: ```{r thinning, echo = TRUE, eval = FALSE} data("CELseq2_Gene_UMI_Counts") data("CELseq2_Gene_Read_Counts") -Batches <- data.frame(Batch = sapply(strsplit(colnames(CELseq2_Gene_UMI_Counts), "_"), "[[", 1), - stringsAsFactors = FALSE, row.names = colnames(CELseq2_Gene_UMI_Counts)) +batch <- sapply(strsplit(colnames(CELseq2_Gene_UMI_Counts), "_"), "[[", 1) +Batches <- data.frame(Batch = batch, + stringsAsFactors = FALSE, + row.names = colnames(CELseq2_Gene_UMI_Counts)) data("GeneLengths_mm10") # estimation @@ -492,7 +508,7 @@ setupres <- Setup(ngenes = 10000, nsims = 25, estParamRes = estparam_gene, estSpikeRes = NULL, DropGenes = TRUE, - sim.seed = 5299, verbose = TRUE) + setup.seed = 5299, verbose = TRUE) # run simulations simres <- simulateDE(SetupRes = setupres, diff --git a/doc/powsimR.html b/doc/powsimR.html index 2e108c3..cd4941d 100644 --- a/doc/powsimR.html +++ b/doc/powsimR.html @@ -41,7 +41,7 @@ font-family: 'Material Icons'; font-style: normal; font-weight: 400; -src: 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) format('truetype'); +src: 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) format('truetype'); } .material-icons { font-family: 'Material Icons'; @@ -64,15 +64,15 @@ return new Za.prototype.init(a,b,c,d,e)}m.Tween=Za,Za.prototype={constructor:Za,init:function(a,b,c,d,e,f){this.elem=a,this.prop=c,this.easing=e||"swing",this.options=b,this.start=this.now=this.cur(),this.end=d,this.unit=f||(m.cssNumber[c]?"":"px")},cur:function(){var a=Za.propHooks[this.prop];return a&&a.get?a.get(this):Za.propHooks._default.get(this)},run:function(a){var b,c=Za.propHooks[this.prop];return this.options.duration?this.pos=b=m.easing[this.easing](a,this.options.duration*a,0,1,this.options.duration):this.pos=b=a,this.now=(this.end-this.start)*b+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),c&&c.set?c.set(this):Za.propHooks._default.set(this),this}},Za.prototype.init.prototype=Za.prototype,Za.propHooks={_default:{get:function(a){var b;return null==a.elem[a.prop]||a.elem.style&&null!=a.elem.style[a.prop]?(b=m.css(a.elem,a.prop,""),b&&"auto"!==b?b:0):a.elem[a.prop]},set:function(a){m.fx.step[a.prop]?m.fx.step[a.prop](a):a.elem.style&&(null!=a.elem.style[m.cssProps[a.prop]]||m.cssHooks[a.prop])?m.style(a.elem,a.prop,a.now+a.unit):a.elem[a.prop]=a.now}}},Za.propHooks.scrollTop=Za.propHooks.scrollLeft={set:function(a){a.elem.nodeType&&a.elem.parentNode&&(a.elem[a.prop]=a.now)}},m.easing={linear:function(a){return a},swing:function(a){return.5-Math.cos(a*Math.PI)/2}},m.fx=Za.prototype.init,m.fx.step={};var $a,_a,ab=/^(?:toggle|show|hide)$/,bb=new RegExp("^(?:([+-])=|)("+S+")([a-z%]*)$","i"),cb=/queueHooks$/,db=[ib],eb={"*":[function(a,b){var c=this.createTween(a,b),d=c.cur(),e=bb.exec(b),f=e&&e[3]||(m.cssNumber[a]?"":"px"),g=(m.cssNumber[a]||"px"!==f&&+d)&&bb.exec(m.css(c.elem,a)),h=1,i=20;if(g&&g[3]!==f){f=f||g[3],e=e||[],g=+d||1;do h=h||".5",g/=h,m.style(c.elem,a,g+f);while(h!==(h=c.cur()/d)&&1!==h&&--i)}return 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b/docs/articles/index.html @@ -10,23 +10,27 @@ - + - + - + + + + + - - + + - + - - + + @@ -53,7 +57,7 @@ - +

@@ -91,7 +95,7 @@
@@ -130,7 +135,7 @@

All vignettes

-

Site built with pkgdown 1.4.1.

+

Site built with pkgdown 1.5.1.

diff --git a/docs/articles/powsimR.html b/docs/articles/powsimR.html index 0f03ded..f447f5b 100644 --- a/docs/articles/powsimR.html +++ b/docs/articles/powsimR.html @@ -6,19 +6,19 @@ powsimR • powsimR - - - - + + + + + - - + - +

@@ -199,33 +200,35 @@

The user can choose between multiple normalisation methods (see Details section of estimateParam). Furthermore, a number of methods are group sensitive (e.g. batch labels can be provided in SCnorm). For single cell data, it is important to filter out genes and/or cells that are outliers or deemed undetected (see options SampleFilter and GeneFilter).

The estimates, sequencing depth and normalisation factors are plotted with plotParam.

With the following command, we estimate and plot the parameters for the mouse embryonic stem cells profiled with CELseq2 (Ziegenhain et al. 2017) (Figure @ref(fig:geneparamsplot)). Firstly, we can examine the quality of the data set using the metrics in Figure @ref(fig:geneparamsplot) A. But most importantly, we see that the variability (i.e. dispersion) and dropout rates are high (Figure @ref(fig:geneparamsplot) B). Furthermore, the dispersion depends on the mean and does not level off with higher mean values compared to bulk data (Figure @ref(fig:geneparamsplot) D).

- +
data("CELseq2_Gene_UMI_Counts")
+batch <- sapply(strsplit(colnames(CELseq2_Gene_UMI_Counts), "_"), "[[", 1)
+Batches <- data.frame(Batch = batch,
+                      stringsAsFactors = FALSE,
+                      row.names = colnames(CELseq2_Gene_UMI_Counts))
+data("GeneLengths_mm10")
+
+# estimation
+estparam_gene <- estimateParam(countData = CELseq2_Gene_UMI_Counts,
+                          readData = NULL,
+                          batchData = Batches,
+                          spikeData = NULL,
+                          spikeInfo = NULL,
+                          Lengths = GeneLengths, MeanFragLengths = NULL,
+                          RNAseq = 'singlecell', Protocol = 'UMI',
+                          Distribution = 'NB', Normalisation = "scran",
+                          GeneFilter = 0.1, SampleFilter = 3,
+                          sigma = 1.96, NCores = NULL, verbose = TRUE)
+
+# plotting
+plotParam(estParamRes = estparam_gene, Annot = T)
Estimated parameters for CEL-seq2 libraries from Ziegenhain et al. 2017. A) Quality Control Metrics: Sequencing depth; Library size factors with median (black line) for the filtered data set; Detected genes; Ratio of gene to spike-in counts (if spike-ins were provided). Outliers are marked in red. B) Marginal Distribution of gene mean, dispersion and dropout rate per estimation set. C) Number of genes and samples per estimation set. Provided by the user; Detected = number of genes and samples with at least one count; All = number of genes for which mean, dispersion and dropout could be estimated using non-outlying samples. 
-Filtered = number of genes above filter threshold for which mean, dispersion and dropout could be estimated using non-outlying samples. Dropout Genes = number of genes filtered out due to dropout rate. D) Local polynomial regression fit between mean and dispersion estimates with variability band per gene (yellow). Common dispersion estimate (grey dashed line). E) Fraction of dropouts versus estimated mean expression per gene.

+Filtered = number of genes above filter threshold for which mean, dispersion and dropout could be estimated using non-outlying samples. Dropout Genes = number of genes filtered out due to dropout rate. D) Local polynomial regression fit between mean and dispersion estimates with variability band per gene (yellow). Common dispersion estimate (grey dashed line). E) Fraction of dropouts versus estimated mean expression per gene." width="755">

Estimated parameters for CEL-seq2 libraries from Ziegenhain et al. 2017. A) Quality Control Metrics: Sequencing depth; Library size factors with median (black line) for the filtered data set; Detected genes; Ratio of gene to spike-in counts (if spike-ins were provided). Outliers are marked in red. B) Marginal Distribution of gene mean, dispersion and dropout rate per estimation set. C) Number of genes and samples per estimation set. Provided by the user; Detected = number of genes and samples with at least one count; All = number of genes for which mean, dispersion and dropout could be estimated using non-outlying samples. Filtered = number of genes above filter threshold for which mean, dispersion and dropout could be estimated using non-outlying samples. Dropout Genes = number of genes filtered out due to dropout rate. D) Local polynomial regression fit between mean and dispersion estimates with variability band per gene (yellow). Common dispersion estimate (grey dashed line). E) Fraction of dropouts versus estimated mean expression per gene.

We have implemented a count simulation framework assuming either a negative binomial distribution or a zero-inflated negative binomial distribution. To predict the dispersion given a random draw of mean expression value observed, we apply a locally weighted polynomial regression fit (solid orange line in Figure @ref(fig:geneparamsplot) D). To capture the variability of dispersion estimates observed, a local variability prediction band is applied (dashed orange lines in Figure @ref(fig:geneparamsplot) D).

-

For bulk RNA-seq experiments, dropouts are less probable but can still occur. To include this phenomenon we sample from the observed dropout rates for genes that have a mean expression value below 5% dropout probability determined by a decrease constrained B-splines regresssion of dropout rate against mean expression (cobs).

+

For bulk RNA-seq experiments, dropouts are less probable but can still occur. To include this phenomenon we sample from the observed dropout rates for genes that have a mean expression value below 5% dropout probability determined by a decrease constrained B-splines regression of dropout rate against mean expression (cobs).

For the zero-inflated negative binomial distribution, the mean-dispersion relation is similarly estimated, but based on positive read counts. Furthermore, the dropouts are also predicted based on a locally weighted polynomial regression fit between mean and dropouts. Of note, this fit is done separately for amplified and non-amplified transcripts and similar proportions of genes as observed are also generated in the simulations (Ziegenhain et al. 2017).

We and others have found that the negative binomial (NB) distribution is particularly suited for scRNA-seq protocols with UMIs (e.g. SCRB-Seq, Drop-Seq, 10XGenomics) (Svensson 2020) whereas non-UMI methods like Smartseq2 show a considerable proportion of genes with zero-inflated count distributions and the zero-inflated negative binomial (ZINB) is then more appropiate (Vieth et al. 2017). In addition, we recommend the NB distribution for bulk RNA-seq and only recommend the option ‘singlecell’ in estimateParam() and specialised single cell tools for e.g. normalisation if the data is extremely sparse.

@@ -240,22 +243,23 @@

\end{equation}\]

The number of molecules \(Y_{j}\) for each ERCC spike-in species is the product of the molar concentration \(c_{j}\) (attomoles per microlitre), the dilution factor \(1/D\), the volume \(V\) (nanolitre), Avogadros’ constant (\(6.02214129*10^{23}\)) and conversion factors between unit scales.

With the following command, we estimate the parameters for the spike-ins added during library preparation of mouse embryonic stem cells cultured in standard 2i+lif medium (Ziegenhain et al. 2017). Descriptive plots of the spike-ins can be drawn with plotSpike (Figure @ref(fig:spikeplot)).

-
data("CELseq2_SpikeIns_UMI_Counts")
-data("CELseq2_SpikeInfo")
-Batches = data.frame(Batch = sapply(strsplit(colnames(CELseq2_SpikeIns_UMI_Counts), "_"), "[[", 1),
-                       stringsAsFactors = F,
-                       row.names = colnames(CELseq2_SpikeInfo))
-# estimation
-estparam_spike <- estimateSpike(spikeData = CELseq2_SpikeIns_UMI_Counts,
-spikeInfo = CELseq2_SpikeInfo,
-MeanFragLength = NULL,
-batchData = Batches,
-Normalisation = 'depth')
-
-# plotting
-plotSpike(estparam_spike)
+
data("CELseq2_SpikeIns_UMI_Counts")
+data("CELseq2_SpikeInfo")
+batch = sapply(strsplit(colnames(CELseq2_SpikeIns_UMI_Counts), "_"), "[[", 1)
+Batches = data.frame(Batch = batch,
+                       stringsAsFactors = F,
+                       row.names = colnames(CELseq2_SpikeIns_UMI_Counts))
+# estimation
+estparam_spike <- estimateSpike(spikeData = CELseq2_SpikeIns_UMI_Counts,
+spikeInfo = CELseq2_SpikeInfo,
+MeanFragLength = NULL,
+batchData = Batches,
+Normalisation = 'depth')
+
+# plotting
+plotSpike(estparam_spike)
-Estimated parameters for the spike-ins added to CEL-seq2 libraries in Ziegenhain et al. 2017 (A) Sequencing depth per sample with median sequencing depth (grey dashed line). (B) Library size normalisation factor per sample with median size factor (grey dashed line). (C) Calibration curve with mean expression estimates and average R squared over all cells. (D) Capture efficiency with binomial logistic regression fit over all cells.

+Estimated parameters for the spike-ins added to CEL-seq2 libraries in Ziegenhain et al. 2017 (A) Sequencing depth per sample with median sequencing depth (grey dashed line). (B) Library size normalisation factor per sample with median size factor (grey dashed line). (C) Calibration curve with mean expression estimates and average R squared over all cells. (D) Capture efficiency with binomial logistic regression fit over all cells.

Estimated parameters for the spike-ins added to CEL-seq2 libraries in Ziegenhain et al. 2017 (A) Sequencing depth per sample with median sequencing depth (grey dashed line). (B) Library size normalisation factor per sample with median size factor (grey dashed line). (C) Calibration curve with mean expression estimates and average R squared over all cells. (D) Capture efficiency with binomial logistic regression fit over all cells.

@@ -273,20 +277,20 @@

Examples of Log Fold Changes following a gamma, normal and uniform distribution.

-

The number of replicates per group (n1 and n2) are also defined in Setup which can be unbalanced. These numbers represent either biological replicates for bulk or number of cells for single cell RNA-seq. In addition, the user can choose to include the simulation of dropout genes so that the resulting count matrix has a percentage of dropouts equal to the rate filtered out during estimation.

-

The distribution estimates and these settings are then combined to one object.

+

The number of replicates per group (n1 and n2) are also defined in Setup which can be unbalanced. In addition the user can choose to include the simulaiton of dropout genes so that the resulting count matrix has a percentage of dropouts equal to the rate filtered out during estimation.

+

The distribution estimates and these settings are then combined into one object. The following command sets up simulations with 10,000 genes, 20% genes being DE, log fold change sampled from a narrow gamma distribution and parameter estimates based on Smartseq2 libraries in Ziegenhain dataset. Please note that I decreased the number of simulations for this illustration.

The following command sets up simulations with 10,000 genes, 5% genes being DE, log fold change sample from a narrow gamma distribution and parameter estimates based on CEL-seq2 libraries in Ziegenhain dataset. The spike-ins are only necessary if we wish to apply imputation, normalisation and/or DE-tools that can utilize spike-ins, see the Details section of estimateParam() and simulateDE().

- +
# define log fold change
+p.lfc <- function(x) sample(c(-1,1), size=x,replace=T)*rgamma(x, shape = 1, rate = 2)
+# set up simulations
+setupres <- Setup(ngenes = 10000, nsims = 25,
+                  p.DE = 0.05, pLFC = p.lfc,
+                  n1 = c(48, 96, 384, 800), n2 = c(48, 96, 384, 800),
+                  Thinning = NULL, LibSize = 'equal',
+                  estParamRes = estparam_gene,
+                  estSpikeRes = NULL,
+                  DropGenes = TRUE,
+                  setup.seed = 5299, verbose = TRUE)

@@ -299,15 +303,11 @@

Normalisation: The normalisation method. The user can choose between 10 methods in total. 5 developed for bulk, 5 developed for single cells (see the Details section of simulateDE).

There are also additional options: Whether to apply a prefiltering or imputation step prior to normalisation; whether spike-in information should be used (if available). For more information, please consult the Details section of simulateDE.

- -

-
-

-Simulating gene expression of cell mixtures

+
simres <- simulateDE(SetupRes = setupres,
+                     Prefilter = NULL, Imputation = NULL,
+                     Normalisation = 'scran',
+                     DEmethod = "limma-trend", DEFilter = FALSE,
+                     NCores = NULL, verbose = TRUE)
@@ -319,46 +319,48 @@

Differential Expression

The results of differential expression simulation are evaluated with evaluateDE. We have separated the evaluation from DE detection to allow the user to evaluate power in a comprehensive way as advocated by (Wu, Wang, and Wu 2015). In this function, the proportions and error rates are estimated. The rates can be stratified by mean, dispersion, dropout or log fold change. Furthermore, the user can choose between different multiple testing correction methods (see p.adjust.methods(), ihw() in and qvalue() in ). Also, the genes can be filtered by mean, dispersion or dropout. To define biologically interesting genes, a cutoff for the log fold change with delta can be set.

With the following command we evaluate the marginal TPR and FDR conditional on the mean expression:

- +
evalderes = evaluateDE(simRes = simres,
+                     alpha.type = 'adjusted',
+                     MTC = 'BH',
+                     alpha.nominal = 0.1,
+                     stratify.by = 'mean',
+                     filter.by = 'none',
+                     strata.filtered = 1,
+                     target.by = 'lfc',
+                     delta = 0)

The results of the evaluation can be plotted with plotEvalDE().

+
plotEvalDE(evalRes = evalderes, rate = 'marginal', quick = TRUE, Annot = TRUE)
+plotEvalDE(evalRes = evalderes, rate = 'conditional', quick = TRUE, Annot = TRUE)
  • rate: The user can choose to plot the ‘marginal’ or ‘stratified’ error rates. The number of genes per stratum are also summarised.
  • quick: If this is set to TRUE then only the TPR and FDR will be plotted.
-

The quick marginal and conditional power assessment for the Ziegenhain data is plotted in Figure @ref(fig:evaldeplot1) and @ref(fig:evaldeplot2). As expected the power (TPR) to detect differential expression increases with sample size Figure @ref(fig:evaldeplot1). On the other hand, the ability to control the false detection (FDR) at the chosen nominal level depends on the average expression of DE genes (Figure @ref(fig:evaldeplot2)). In addition, the detection of true positives with small average expression needs far more replicates per group.

+

The quick marginal and conditional power assessment for the Ziegenhain data is plotted in Figure @ref(fig:evaldeplot1) and @ref(fig:evaldeplot2). As expected the power (TPR) to detect differential expression increases with sample size (Figure @ref(fig:evaldeplot1)). On the other hand, the ability to control the false detection (FDR) at the chosen nominal level depends on the average expression of DE genes (Figure @ref(fig:evaldeplot2)). In addition, the detection of true positives with small mean expression needs far more replicates per group.

-Marginal Error Rates. (A) Marginal TPR and FDR per sample size comparison. (B) Marginal TPR and FDR per sample size comparison with dashed line indicating nominal alpha level (type I error) and nominal 1-beta level, i.e. 80% power (type II error).

-Marginal Error Rates. (A) Marginal TPR and FDR per sample size comparison. (B) Marginal TPR and FDR per sample size comparison with dashed line indicating nominal alpha level (type I error) and nominal 1-beta level, i.e. 80% power (type II error). +Marginal Error Rates. (A) Marginal FDR and TPR per sample size comparison. (B) Marginal FDR and TPR per sample size comparison with dashed line indicating nominal alpha level (type I error) and nominal 1-beta level, i.e. 80% power (type II error).

+Marginal Error Rates. (A) Marginal FDR and TPR per sample size comparison. (B) Marginal FDR and TPR per sample size comparison with dashed line indicating nominal alpha level (type I error) and nominal 1-beta level, i.e. 80% power (type II error).

-Stratified Error Rates. (A) Conditional TPR and FDR per sample size comparison per stratum. (B) Number of equally (EE) and differentially expressed (DE) genes per stratum.

-Stratified Error Rates. (A) Conditional TPR and FDR per sample size comparison per stratum. (B) Number of equally (EE) and differentially expressed (DE) genes per stratum. +Stratified Error Rates. (A) Conditional FDR and TPR per sample size comparison per stratum. (B) Number of equally (EE) and differentially expressed (DE) genes per stratum.

+Stratified Error Rates. (A) Conditional FDR and TPR per sample size comparison per stratum. (B) Number of equally (EE) and differentially expressed (DE) genes per stratum.

In addition to the classical evaluation of power analyses, powsimR also includes the option to evaluate the simulations using summary metrics such as the Receiver-Operator-Characteristic (ROC) Curve as well as accuracy, F1 score and Matthews Correlation Coefficient.

With the following command we calculate these metrics with evaluateROC() and plot them with plotEvalROC(). The classical ROC curve as well as precision-recall curve, which is more appropiate for imbalanced number of true positives and negatives, can be helpful to identify the optimal sample size setup (Figure @ref(fig:evalrocresplot) A and B). Most importantly, we can check if the FDR is controlled at the chosen nominal level (Figure @ref(fig:evalrocresplot) C). If that is not the case, then the chosen pipeline, particularly the normalisation and DE testing, might be an issue (Vieth et al. 2019).

-
evalrocres = evaluateROC(simRes = simres,
-                         alpha.type="adjusted",
-                         MTC='BH',
-                         alpha.nominal = 0.1)
-
-plotEvalROC(evalRes = evalrocres, cutoff = "liberal")
+
evalrocres = evaluateROC(simRes = simres,
+                         alpha.type="adjusted",
+                         MTC='BH',
+                         alpha.nominal = 0.1)
+
+plotEvalROC(evalRes = evalrocres, cutoff = "liberal")
A) Receiver-Operator-Characteristics (ROC) Curve per sample size setup. 
 B) Precision-Recall (PR) Curve per sample size setup. 
 C) TPR versus observed FDR per sample size setup. The filling of the point indicates whether FDR is controlled at the chosen nominal level. 
-D) Summary Statistics per sample size setup rounded to two digits.

+D) Summary Statistics per sample size setup rounded to two digits." width="570">

  1. Receiver-Operator-Characteristics (ROC) Curve per sample size setup.
  2. @@ -376,20 +378,20 @@

    Pipeline

    We can also check in how far our pipeline choices are affecting our ability to correctly identify differential expression in evaluateSim().

    With the following command we calculate these metrics. Of note here is particular in how far our estimated log fold changes deviate from the simulated fold changes as well as how the normalisation is able to ensure comparability across sample groups (Figure @(fig:evalsimresplot)).

    -
    evalsimres = evaluateSim(simRes = simres)
    -
    -plotEvalSim(evalRes = evalsimres)
    -
    -plotTime(evalRes = evalsimres)
    +
    evalsimres = evaluateSim(simRes = simres)
    +
    +plotEvalSim(evalRes = evalsimres)
    +
    +plotTime(evalRes = evalsimres)
    Pipeline Evaluation. A) Mean Absolute Error (MAE), Root Mean Squared Error (RMSE) and robust Root Mean Squared Error (rRMSE) for the estimated log fold changes of all (ALL), differentially expressed (DE) and equally expressed (EE) genes compared to the true log fold changes. 
 B) Median absolute deviation (MAD) and robust Root Mean Squared Error (rRMSE) between estimated and simulated size factors. 
-C) The average ratio between simulated and estimated size factors in the two groups per sample size setup. All values are mean +/- standard error.

    +C) The average ratio between simulated and estimated size factors in the two groups per sample size setup. All values are mean +/- standard error." width="670">

    Pipeline Evaluation. A) Mean Absolute Error (MAE), Root Mean Squared Error (RMSE) and robust Root Mean Squared Error (rRMSE) for the estimated log fold changes of all (ALL), differentially expressed (DE) and equally expressed (EE) genes compared to the true log fold changes. B) Median absolute deviation (MAD) and robust Root Mean Squared Error (rRMSE) between estimated and simulated size factors. C) The average ratio between simulated and estimated size factors in the two groups per sample size setup. All values are mean +/- standard error.

    -Computational Run Time in seconds per simulateDE() pipeline step.

    +Computational Run Time in seconds per simulateDE() pipeline step.

    Computational Run Time in seconds per simulateDE() pipeline step.

    @@ -411,25 +413,25 @@

    Access to raw read counts stored in online data bases

    We have provided a number of exemplary single cell RNA-seq data sets for parameter estimation. Nevertheless, you might not find a data set that matches your own experimental setup. In those cases, we recommend to check online repositories for a suitable data set. Below you can find an example script to get count tables from recount2 (Collado-Torres et al. 2017). For a single cell RNA-seq data base, see conquer (Soneson and Robinson 2018).

    As before, the user can then estimate the negative binomial parameters with estimateParam(), view these estimates with plotParam() and use it as an input for Setup().

    - +
    # Install and load the R package
    +BiocManager::install("recount")
    +library('recount')
    +
    +# Download the data set
    +url <- download_study('SRP060416')
    +
    +# Load the data
    +load(file.path('SRP060416', 'rse_gene.Rdata'))
    +
    +# count table
    +cnts <- assay(rse_gene)
    +# sample annotation
    +sample.info <- data.frame(colData(rse_gene)@listData,
    +                          stringsAsFactors=F)
    +# gene annotation
    +gene.info <- data.frame(GeneID=rowData(rse_gene)@listData$gene_id,
    +                        GeneLength=rowData(rse_gene)@listData$bp_length,
    +                        stringsAsFactors=F)
@@ -439,17 +441,17 @@

The evaluation is then plotted with the function plotEvalDist() which summarizes the best fitting distribution per gene based on goodness-of-fit statistics (Chi-square test), Akaike Information Criterium, comparing observed dropouts with zero count prediction of the models and comparing the model fitness with Likelihood Ratio Test and Vuong Test.

As noted by other developers, goodness-of-fit tests are not an objective tool and heavily depend on sample sizes (Delignette-Muller and Dutang 2015). A graphical evaluation of the fitted distribution is considered the most appropiate way but for high-throughput sequencing this is an unrealistic recommendation. Bulk RNA-seq experiments are usually conducted with a small number of samples. We therefore recommend to rely on the goodness-of-fit validation by (Mi, Di, and Schafer 2015).

With the following command, we determine and plot the fitting for the embryonic stem cells cultured in standard 2i+lif medium profiled with the Smartseq2 protocol (Ziegenhain et al. 2017). Note that the results shown in Figure @ref(fig:evaldistplot) will differ from the executed command since I reduced the data set and evaluate the fitting only for a fraction of genes.

- +
data("SmartSeq2_Gene_Read_Counts")
+evalDistRes <- evaluateDist(countData = SmartSeq2_Gene_Read_Counts,
+                            batchData = NULL,
+                            spikeData = NULL, spikeInfo = NULL,
+                            Lengths = NULL, MeanFragLengths = NULL,
+                            RNAseq = "singlecell", Protocol = "UMI",
+                            Normalisation = "scran",
+                            GeneFilter = 0.1, SampleFilter = 3,
+                            FracGenes = 0.1,
+                            verbose = TRUE)
+plotEvalDist(evalDistRes)
Distribution Evaluation. A) Goodness-of-fit of the model assessed with a Chi-Square Test based on residual deviance and degrees of freedom. B) Akaike Information Criterion per gene: Model with the lowest AIC. Model with the lowest AIC and passed goodness-of-fit statistic test.  C) Observed versus predicted dropouts per model and gene plotted without outliers. D) Model Assessment based on LRT for nested models and Vuong test for nonnested models.

Distribution Evaluation. A) Goodness-of-fit of the model assessed with a Chi-Square Test based on residual deviance and degrees of freedom. B) Akaike Information Criterion per gene: Model with the lowest AIC. Model with the lowest AIC and passed goodness-of-fit statistic test. C) Observed versus predicted dropouts per model and gene plotted without outliers. D) Model Assessment based on LRT for nested models and Vuong test for nonnested models. @@ -459,55 +461,62 @@

Simulation Settings

+
+

+Replicates with partial phenotypic differences

+

By default, all replicates per group express the phenotypic differences in gene expression defined by pLFC. If the user wishes for a more varied expression profile, i.e. only a proportion of replicates per group with a difference in expression, these patterns can be defined by changing p.G (see Details section of Setup()).

+

Include differences in library sizes

-

By default, there is no difference in library sizes between the samples. If the user wishes for a more realistic, i.e. more variable distribution of read counts across samples, the library sizes can be sampled from observed, vector or function. See the Details section of Setup().

+

By default, there is no difference in library sizes between the samples. If the user wishes for a more realistic, i.e. more variable distribution of read counts across samples, the library sizes can be sampled from observed, vector or function (see Details section of Setup()).

Downsample simulated count matrices by binomial thinning

-

There is the additional option to downsample simulated count matrices with the option Thinning in Setup in order to know in how far a shallower sequencing depth affects the power to detect differential expression. For example, the estimation was done using 500 cells and in the simulations we would like to compare two groups with a total of 1000 cells but do not want to increase the sequencing depth compared to the pilot data. Thus we can set the Thinning parameters to 0.5 to half the number of counts per cell. Please note, that the thinning assumes that the count matrix is based on reads, not UMIs. For UMI-methods, please supply the UMI count matrix as countData in estimateParam() and the raw read count matrix without UMI deduplication as readData. For more information, please check out the help page of estimateParam().

+

There is the additional option to downsample simulated count matrices with the option Thinning in Setup() in order to know in how far a shallower sequencing depth affects the power to detect differential expression. For example, the estimation was done using 500 cells and in the simulations we would like to compare two groups with a total of 1000 cells but do not want to increase the sequencing depth compared to the pilot data. Thus we can set the Thinning parameters to 0.5 to half the number of counts per cell. Please note, that the thinning assumes that the count matrix is based on reads, not UMIs. For UMI-methods, please supply the UMI count matrix as countData in estimateParam() and the raw read count matrix without UMI deduplication as readData. For more information, please check out the help page of estimateParam().

Below you can find an example script using the CELSeq2 libraries from Ziegenhain et al.:

- +
data("CELseq2_Gene_UMI_Counts")
+data("CELseq2_Gene_Read_Counts")
+batch <- sapply(strsplit(colnames(CELseq2_Gene_UMI_Counts), "_"), "[[", 1)
+Batches <- data.frame(Batch = batch,
+                      stringsAsFactors = FALSE,
+                      row.names = colnames(CELseq2_Gene_UMI_Counts))
+data("GeneLengths_mm10")
+
+# estimation
+estparam_gene <- estimateParam(countData = CELseq2_Gene_UMI_Counts,
+                               readData = CELseq2_Gene_Read_Counts,
+                               batchData = Batches,
+                               spikeData = NULL,
+                               spikeInfo = NULL,
+                               Lengths = GeneLengths, MeanFragLengths = NULL,
+                               RNAseq = 'singlecell', Protocol = 'UMI',
+                               Distribution = 'NB', Normalisation = "scran",
+                               GeneFilter = 0.1, SampleFilter = 3,
+                               sigma = 1.96, NCores = NULL, verbose = TRUE)
+
+plotParam(estParamRes = estparam_gene)
+
+# define log fold change
+p.lfc <- function(x) sample(c(-1,1), size=x,replace=T)*rgamma(x, shape = 1, rate = 2)
+
+# set up simulations
+setupres <- Setup(ngenes = 10000, nsims = 25,
+                  p.DE = 0.1, pLFC = p.lfc,
+                  n1 = c(500, 1000), n2 = c(500, 1000),
+                  Thinning = c(1, 0.5), LibSize = 'given',
+                  estParamRes = estparam_gene,
+                  estSpikeRes = NULL,
+                  DropGenes = TRUE,
+                  setup.seed = 5299, verbose = TRUE)
+
+# run simulations
+simres <- simulateDE(SetupRes = setupres,
+                     Prefilter = "FreqFilter", Imputation = NULL,
+                     Normalisation = 'scran',
+                     DEmethod = "limma-trend", DEFilter = FALSE,
+                     NCores = NULL, verbose = TRUE)

@@ -515,7 +524,7 @@

Session info

Here is the output of sessionInfo() on the system on which this document was compiled:

-
R version 3.6.2 (2019-12-12)
+
R version 4.0.1 (2020-06-06)
 Platform: x86_64-pc-linux-gnu (64-bit)
 Running under: Ubuntu 18.04.4 LTS
 
@@ -535,26 +544,27 @@ 

[1] stats graphics grDevices utils datasets methods base other attached packages: -[1] qvalue_2.18.0 IHW_1.14.0 rmdformats_0.3.6 knitr_1.28 +[1] qvalue_2.20.0 IHW_1.16.0 rmdformats_0.3.7 knitr_1.28 loaded via a namespace (and not attached): - [1] Rcpp_1.0.3 plyr_1.8.5 pillar_1.4.3 - [4] compiler_3.6.2 formatR_1.7 highr_0.8 - [7] tools_3.6.2 digest_0.6.23 tibble_2.1.3 -[10] evaluate_0.14 memoise_1.1.0 lifecycle_0.1.0 + [1] Rcpp_1.0.4.6 plyr_1.8.6 pillar_1.4.4 + [4] compiler_4.0.1 formatR_1.7 highr_0.8 + [7] tools_4.0.1 digest_0.6.25 evaluate_0.14 +[10] memoise_1.1.0 lifecycle_0.2.0 tibble_3.0.1 [13] gtable_0.3.0 pkgconfig_2.0.3 png_0.1-7 -[16] rlang_0.4.4 lpsymphony_1.14.0 rstudioapi_0.11 -[19] yaml_2.2.1 parallel_3.6.2 pkgdown_1.4.1 -[22] xfun_0.12 dplyr_0.8.4 stringr_1.4.0 -[25] desc_1.2.0 fs_1.3.1 tidyselect_1.0.0 -[28] rprojroot_1.3-2 grid_3.6.2 glue_1.3.1 -[31] R6_2.4.1 fdrtool_1.2.15 rmarkdown_2.1 -[34] bookdown_0.17 reshape2_1.4.3 purrr_0.3.3 -[37] ggplot2_3.2.1 magrittr_1.5 splines_3.6.2 -[40] backports_1.1.5 scales_1.1.0 htmltools_0.4.0 -[43] MASS_7.3-51.5 BiocGenerics_0.32.0 assertthat_0.2.1 -[46] colorspace_1.4-1 stringi_1.4.5 lazyeval_0.2.2 -[49] munsell_0.5.0 slam_0.1-47 crayon_1.3.4

+[16] rlang_0.4.6 lpsymphony_1.16.0 rstudioapi_0.11 +[19] yaml_2.2.1 parallel_4.0.1 pkgdown_1.5.1 +[22] xfun_0.14 dplyr_1.0.0 stringr_1.4.0 +[25] generics_0.0.2 vctrs_0.3.1 desc_1.2.0 +[28] fs_1.4.1 tidyselect_1.1.0 rprojroot_1.3-2 +[31] grid_4.0.1 glue_1.4.1 R6_2.4.1 +[34] fdrtool_1.2.15 rmarkdown_2.2 bookdown_0.19 +[37] reshape2_1.4.4 purrr_0.3.4 ggplot2_3.3.1 +[40] magrittr_1.5 splines_4.0.1 ellipsis_0.3.1 +[43] backports_1.1.8 scales_1.1.1 htmltools_0.5.0 +[46] MASS_7.3-51.6 BiocGenerics_0.34.0 assertthat_0.2.1 +[49] colorspace_1.4-1 stringi_1.4.6 munsell_0.5.0 +[52] slam_0.1-47 crayon_1.3.4

@@ -603,50 +613,11 @@

- @@ -657,7 +628,7 @@

-

Site built with pkgdown 1.4.1.

+

Site built with pkgdown 1.5.1.

diff --git a/docs/authors.html b/docs/authors.html index b577b4f..367afcd 100644 --- a/docs/authors.html +++ b/docs/authors.html @@ -10,23 +10,27 @@ - + - + - + + + + + - - + + - + - - + + @@ -53,7 +57,7 @@ - +
@@ -91,7 +95,7 @@
-

Site built with pkgdown 1.4.1.

+

Site built with pkgdown 1.5.1.

diff --git a/docs/bootstrap-toc.css b/docs/bootstrap-toc.css new file mode 100644 index 0000000..5a85941 --- /dev/null +++ b/docs/bootstrap-toc.css @@ -0,0 +1,60 @@ +/*! + * Bootstrap Table of Contents v0.4.1 (http://afeld.github.io/bootstrap-toc/) + * Copyright 2015 Aidan Feldman + * Licensed under MIT (https://github.com/afeld/bootstrap-toc/blob/gh-pages/LICENSE.md) */ + +/* modified from https://github.com/twbs/bootstrap/blob/94b4076dd2efba9af71f0b18d4ee4b163aa9e0dd/docs/assets/css/src/docs.css#L548-L601 */ + +/* All levels of nav */ +nav[data-toggle='toc'] .nav > li > a { + display: block; + padding: 4px 20px; + font-size: 13px; + font-weight: 500; + color: #767676; +} +nav[data-toggle='toc'] .nav > li > a:hover, +nav[data-toggle='toc'] .nav > li > a:focus { + padding-left: 19px; + color: #563d7c; + text-decoration: none; + background-color: transparent; + border-left: 1px solid #563d7c; +} +nav[data-toggle='toc'] .nav > .active > a, +nav[data-toggle='toc'] .nav > .active:hover > a, +nav[data-toggle='toc'] .nav > .active:focus > a { + padding-left: 18px; + font-weight: bold; + color: #563d7c; + background-color: transparent; + border-left: 2px solid #563d7c; +} + +/* Nav: second level (shown on .active) */ +nav[data-toggle='toc'] .nav .nav { + display: none; /* Hide by default, but at >768px, show it */ + padding-bottom: 10px; +} +nav[data-toggle='toc'] .nav .nav > li > a { + padding-top: 1px; + padding-bottom: 1px; + padding-left: 30px; + font-size: 12px; + font-weight: normal; +} +nav[data-toggle='toc'] .nav .nav > li > a:hover, +nav[data-toggle='toc'] .nav .nav > li > a:focus { + padding-left: 29px; +} +nav[data-toggle='toc'] .nav .nav > .active > a, +nav[data-toggle='toc'] .nav .nav > .active:hover > a, +nav[data-toggle='toc'] .nav .nav > .active:focus > a { + padding-left: 28px; + font-weight: 500; +} + +/* from https://github.com/twbs/bootstrap/blob/e38f066d8c203c3e032da0ff23cd2d6098ee2dd6/docs/assets/css/src/docs.css#L631-L634 */ +nav[data-toggle='toc'] .nav > .active > ul { + display: block; +} diff --git a/docs/bootstrap-toc.js b/docs/bootstrap-toc.js new file mode 100644 index 0000000..1cdd573 --- /dev/null +++ b/docs/bootstrap-toc.js @@ -0,0 +1,159 @@ +/*! + * Bootstrap Table of Contents v0.4.1 (http://afeld.github.io/bootstrap-toc/) + * Copyright 2015 Aidan Feldman + * Licensed under MIT (https://github.com/afeld/bootstrap-toc/blob/gh-pages/LICENSE.md) */ +(function() { + 'use strict'; + + window.Toc = { + helpers: { + // return all matching elements in the set, or their descendants + findOrFilter: function($el, selector) { + // http://danielnouri.org/notes/2011/03/14/a-jquery-find-that-also-finds-the-root-element/ + // http://stackoverflow.com/a/12731439/358804 + var $descendants = $el.find(selector); + return $el.filter(selector).add($descendants).filter(':not([data-toc-skip])'); + }, + + generateUniqueIdBase: function(el) { + var text = $(el).text(); + var anchor = text.trim().toLowerCase().replace(/[^A-Za-z0-9]+/g, '-'); + return anchor || el.tagName.toLowerCase(); + }, + + generateUniqueId: function(el) { + var anchorBase = this.generateUniqueIdBase(el); + for (var i = 0; ; i++) { + var anchor = anchorBase; + if (i > 0) { + // add suffix + anchor += '-' + i; + } + // check if ID already exists + if (!document.getElementById(anchor)) { + return anchor; + } + } + }, + + generateAnchor: function(el) { + if (el.id) { + return el.id; + } else { + var anchor = this.generateUniqueId(el); + el.id = anchor; + return anchor; + } + }, + + createNavList: function() { + return $(''); + }, + + createChildNavList: function($parent) { + var $childList = this.createNavList(); + $parent.append($childList); + return $childList; + }, + + generateNavEl: function(anchor, text) { + var $a = $(''); + $a.attr('href', '#' + anchor); + $a.text(text); + var $li = $('
  • '); + $li.append($a); + return $li; + }, + + generateNavItem: function(headingEl) { + var anchor = this.generateAnchor(headingEl); + var $heading = $(headingEl); + var text = $heading.data('toc-text') || $heading.text(); + return this.generateNavEl(anchor, text); + }, + + // Find the first heading level (`

    `, then `

    `, etc.) that has more than one element. Defaults to 1 (for `

    `). + getTopLevel: function($scope) { + for (var i = 1; i <= 6; i++) { + var $headings = this.findOrFilter($scope, 'h' + i); + if ($headings.length > 1) { + return i; + } + } + + return 1; + }, + + // returns the elements for the top level, and the next below it + getHeadings: function($scope, topLevel) { + var topSelector = 'h' + topLevel; + + var secondaryLevel = topLevel + 1; + var secondarySelector = 'h' + secondaryLevel; + + return this.findOrFilter($scope, topSelector + ',' + secondarySelector); + }, + + getNavLevel: function(el) { + return parseInt(el.tagName.charAt(1), 10); + }, + + populateNav: function($topContext, topLevel, $headings) { + var $context = $topContext; + var $prevNav; + + var helpers = this; + $headings.each(function(i, el) { + var $newNav = helpers.generateNavItem(el); + var navLevel = helpers.getNavLevel(el); + + // determine the proper $context + if (navLevel === topLevel) { + // use top level + $context = $topContext; + } else if ($prevNav && $context === $topContext) { + // create a new level of the tree and switch to it + $context = helpers.createChildNavList($prevNav); + } // else use the current $context + + $context.append($newNav); + + $prevNav = $newNav; + }); + }, + + parseOps: function(arg) { + var opts; + if (arg.jquery) { + opts = { + $nav: arg + }; + } else { + opts = arg; + } + opts.$scope = opts.$scope || $(document.body); + return opts; + } + }, + + // accepts a jQuery object, or an options object + init: function(opts) { + opts = this.helpers.parseOps(opts); + + // ensure that the data attribute is in place for styling + opts.$nav.attr('data-toggle', 'toc'); + + var $topContext = this.helpers.createChildNavList(opts.$nav); + var topLevel = this.helpers.getTopLevel(opts.$scope); + var $headings = this.helpers.getHeadings(opts.$scope, topLevel); + this.helpers.populateNav($topContext, topLevel, $headings); + } + }; + + $(function() { + $('nav[data-toggle="toc"]').each(function(i, el) { + var $nav = $(el); + Toc.init($nav); + }); + }); +})(); diff --git a/docs/index.html b/docs/index.html index 84ab86f..9d1e851 100644 --- a/docs/index.html +++ b/docs/index.html @@ -6,32 +6,35 @@ Power Simulations for RNA-sequencing • powsimR - - - - + + + + + - - + - +

    Please also consult my Github Page of powsimR made with pkgdown!

    -
    +

    -Installation Guide

    +:arrow_double_down: Installation Guide

    For the installation, the R package devtools is needed.

    -
    install.packages("devtools")
    -library(devtools)
    +
    install.packages("devtools")
    +library(devtools)

    I recommend to install first the dependencies manually and then powsimR. If you plan to use MAGIC for imputation, then please follow their instruction to install the python implementation before installing powsimR.

    -
    ipak <- function(pkg, repository = c("CRAN", "Bioconductor", "github")) {
    -    new.pkg <- pkg[!(pkg %in% installed.packages()[, "Package"])]
    -    # new.pkg <- pkg
    -    if (length(new.pkg)) {
    -        if (repository == "CRAN") {
    -            install.packages(new.pkg, dependencies = TRUE)
    -        }
    -        if (repository == "Bioconductor") {
    -            if (strsplit(version[["version.string"]], " ")[[1]][3] > "3.6.0") {
    -                if (!requireNamespace("BiocManager")) {
    -                  install.packages("BiocManager")
    -                }
    -                BiocManager::install(new.pkg, dependencies = TRUE, ask = FALSE)
    -            }
    -            if (strsplit(version[["version.string"]], " ")[[1]][3] < "3.6.0") {
    -                stop(message("powsimR depends on packages that are only available in R 3.6.0 and higher."))
    -            }
    -        }
    -        if (repository == "github") {
    -            devtools::install_github(new.pkg, build_vignettes = FALSE, force = FALSE, 
    -                dependencies = TRUE)
    -        }
    -    }
    -}
    -
    -# CRAN PACKAGES
    -cranpackages <- c("broom", "cobs", "cowplot", "data.table", "doParallel", "dplyr", 
    -    "DrImpute", "fastICA", "fitdistrplus", "foreach", "future", "gamlss.dist", "ggplot2", 
    -    "ggpubr", "grDevices", "grid", "Hmisc", "kernlab", "MASS", "magrittr", "MBESS", 
    -    "Matrix", "matrixStats", "mclust", "methods", "minpack.lm", "moments", "msir", 
    -    "NBPSeq", "nonnest2", "parallel", "penalized", "plyr", "pscl", "reshape2", "Rmagic", 
    -    "rsvd", "Rtsne", "scales", "Seurat", "snow", "sctransform", "stats", "tibble", 
    -    "tidyr", "truncnorm", "VGAM", "ZIM", "zoo")
    -ipak(cranpackages, repository = "CRAN")
    -
    -# BIOCONDUCTOR
    -biocpackages <- c("bayNorm", "baySeq", "BiocGenerics", "BiocParallel", "DEDS", "DESeq2", 
    -    "EBSeq", "edgeR", "IHW", "iCOBRA", "limma", "Linnorm", "MAST", "monocle", "NOISeq", 
    -    "qvalue", "ROTS", "RUVSeq", "S4Vectors", "scater", "scDD", "scde", "scone", "scran", 
    -    "SCnorm", "SingleCellExperiment", "SummarizedExperiment", "zinbwave")
    -ipak(biocpackages, repository = "Bioconductor")
    -
    -# GITHUB
    -githubpackages <- c("nghiavtr/BPSC", "cz-ye/DECENT", "mohuangx/SAVER", "statOmics/zingeR")
    -ipak(githubpackages, repository = "github")
    +
    ipak <- function(pkg, repository = c("CRAN", "Bioconductor", "github")) {
    +    new.pkg <- pkg[!(pkg %in% installed.packages()[, "Package"])]
    +    # new.pkg <- pkg
    +    if (length(new.pkg)) {
    +        if (repository == "CRAN") {
    +            install.packages(new.pkg, dependencies = TRUE)
    +        }
    +        if (repository == "Bioconductor") {
    +            if (strsplit(version[["version.string"]], " ")[[1]][3] > "4.0.0") {
    +                if (!requireNamespace("BiocManager")) {
    +                  install.packages("BiocManager")
    +                }
    +                BiocManager::install(new.pkg, dependencies = TRUE, ask = FALSE)
    +            }
    +            if (strsplit(version[["version.string"]], " ")[[1]][3] < "3.6.0") {
    +                stop(message("powsimR depends on packages and functions that are only available in R 4.0.0 and higher."))
    +            }
    +        }
    +        if (repository == "github") {
    +            devtools::install_github(new.pkg, build_vignettes = FALSE, force = FALSE,
    +                dependencies = TRUE)
    +        }
    +    }
    +}
    +
    +# CRAN PACKAGES
    +cranpackages <- c("broom", "cobs", "cowplot", "data.table", "doParallel", "dplyr",
    +    "DrImpute", "fastICA", "fitdistrplus", "foreach", "future", "gamlss.dist", "ggplot2",
    +    "ggpubr", "ggstance", "grDevices", "grid", "Hmisc", "kernlab", "MASS", "magrittr",
    +    "MBESS", "Matrix", "matrixStats", "mclust", "methods", "minpack.lm", "moments",
    +    "msir", "NBPSeq", "nonnest2", "parallel", "penalized", "plyr", "pscl", "reshape2",
    +    "Rmagic", "rsvd", "Rtsne", "scales", "Seurat", "snow", "sctransform", "stats",
    +    "tibble", "tidyr", "truncnorm", "VGAM", "ZIM", "zoo")
    +ipak(cranpackages, repository = "CRAN")
    +
    +# BIOCONDUCTOR
    +biocpackages <- c("bayNorm", "baySeq", "BiocGenerics", "BiocParallel", "DESeq2",
    +    "EBSeq", "edgeR", "IHW", "iCOBRA", "limma", "Linnorm", "MAST", "monocle", "NOISeq",
    +    "qvalue", "ROTS", "RUVSeq", "S4Vectors", "scater", "scDD", "scde", "scone", "scran",
    +    "SCnorm", "SingleCellExperiment", "SummarizedExperiment", "zinbwave")
    +ipak(biocpackages, repository = "Bioconductor")
    +
    +# GITHUB
    +githubpackages <- c("cz-ye/DECENT", "nghiavtr/BPSC", "mohuangx/SAVER", "statOmics/zingeR",
    +    "Vivianstats/scImpute")
    +ipak(githubpackages, repository = "github")

    To check whether all dependencies are installed, you can run the following lines:

    -
    
    -powsimRdeps <- data.frame(Package = c(cranpackages, 
    -                                      biocpackages, 
    -                                      sapply(strsplit(githubpackages, "/"), "[[", 2)), 
    -                          stringsAsFactors = F)
    -
    -ip <- as.data.frame(installed.packages()[,c(1,3:4)], stringsAsFactors = F)
    -
    -ip.check <- cbind(powsimRdeps, 
    -                  Version = ip[match(powsimRdeps$Package, rownames(ip)),"Version"]) 
    -
    -table(is.na(ip.check$Version))  # all should be FALSE
    +
    +powsimRdeps <- data.frame(Package = c(cranpackages,
    +                                      biocpackages,
    +                                      sapply(strsplit(githubpackages, "/"), "[[", 2)),
    +                          stringsAsFactors = F)
    +
    +ip <- as.data.frame(installed.packages()[,c(1,3:4)], stringsAsFactors = F)
    +
    +ip.check <- cbind(powsimRdeps,
    +                  Version = ip[match(powsimRdeps$Package, rownames(ip)),"Version"])
    +
    +table(is.na(ip.check$Version))  # all should be FALSE

    After installing the dependencies, powsimR can be installed by using devtools as well.

    -
    devtools::install_github("bvieth/powsimR", build_vignettes = TRUE, dependencies = FALSE)
    -library("powsimR")
    +
    devtools::install_github("bvieth/powsimR", build_vignettes = TRUE, dependencies = FALSE)
    +library("powsimR")

    Alternative, you can try to install powsimR and its dependencies directly using devtools:

    -
    devtools::install_github("bvieth/powsimR")
    +
    devtools::install_github("bvieth/powsimR")

    -User Guide

    +📖 User Guide

    For examples and tips on using the package, please consult the vignette after successful installation by

    -
    browseVignettes("powsimR")
    +
    browseVignettes("powsimR")

    Some users have experienced issues installing powsimR due to vignette compilation errors. If that is the case, you can leave out building the vignette (by setting build_vignettes to FALSE) and read it on my Github Page of powsimR or download it as a html file here.

    @@ -175,201 +180,210 @@

    -Citation

    +📜 Citation

    Please use the following entry for citing powsimR.

    -
    citation("powsimR")
    +
    citation("powsimR")

    powsimR is published in Bioinformatics. A preprint paper is also on bioRxiv.

    -
    +

    -Notes

    -

    Please send bug reports and feature requests by opening a new issue on this page.

    +:incoming_envelope: Notes +

    Please send bug reports and feature requests by opening a new issue on this page. I try to keep up to date with new developments / changes of methods implemented in powsimR, but if you encounter run errors while using a certain tool (e.g. for imputation), then I appreciate if you can post this as an issue.

    -R Session Info

    -
    library(powsimR)
    -#> Loading required package: gamlss.dist
    -#> Loading required package: MASS
    -#> Warning: replacing previous import 'DECENT::lrTest' by 'MAST::lrTest' when
    -#> loading 'powsimR'
    -#> Warning: replacing previous import 'penalized::predict' by 'stats::predict' when
    -#> loading 'powsimR'
    -#> Warning: replacing previous import 'zinbwave::glmWeightedF' by
    -#> 'zingeR::glmWeightedF' when loading 'powsimR'
    -sessionInfo()
    -#> R version 3.6.2 (2019-12-12)
    -#> Platform: x86_64-pc-linux-gnu (64-bit)
    -#> Running under: Ubuntu 18.04.4 LTS
    -#> 
    -#> Matrix products: default
    -#> BLAS:   /usr/lib/x86_64-linux-gnu/openblas/libblas.so.3
    -#> LAPACK: /usr/lib/x86_64-linux-gnu/libopenblasp-r0.2.20.so
    -#> 
    -#> locale:
    -#>  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
    -#>  [3] LC_TIME=de_DE.UTF-8        LC_COLLATE=en_US.UTF-8    
    -#>  [5] LC_MONETARY=de_DE.UTF-8    LC_MESSAGES=en_US.UTF-8   
    -#>  [7] LC_PAPER=de_DE.UTF-8       LC_NAME=C                 
    -#>  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
    -#> [11] LC_MEASUREMENT=de_DE.UTF-8 LC_IDENTIFICATION=C       
    -#> 
    -#> attached base packages:
    -#> [1] stats     graphics  grDevices utils     datasets  methods   base     
    -#> 
    -#> other attached packages:
    -#> [1] powsimR_1.2.0     gamlss.dist_5.1-6 MASS_7.3-51.5    
    -#> 
    -#> loaded via a namespace (and not attached):
    -#>   [1] mixtools_1.2.0              softImpute_1.4             
    -#>   [3] minpack.lm_1.2-1            lattice_0.20-38            
    -#>   [5] vctrs_0.2.2                 fastICA_1.2-2              
    -#>   [7] mgcv_1.8-31                 penalized_0.9-51           
    -#>   [9] blob_1.2.1                  survival_3.1-8             
    -#>  [11] Rmagic_2.0.3                later_1.0.0                
    -#>  [13] nloptr_1.2.1                DBI_1.1.0                  
    -#>  [15] R.utils_2.9.2               SingleCellExperiment_1.8.0 
    -#>  [17] rappdirs_0.3.1              Linnorm_2.10.0             
    -#>  [19] dqrng_0.2.1                 jpeg_0.1-8.1               
    -#>  [21] zlibbioc_1.32.0             MatrixModels_0.4-1         
    -#>  [23] htmlwidgets_1.5.1           mvtnorm_1.0-12             
    -#>  [25] future_1.16.0               UpSetR_1.4.0               
    -#>  [27] parallel_3.6.2              scater_1.14.6              
    -#>  [29] irlba_2.3.3                 DEoptimR_1.0-8             
    -#>  [31] Rcpp_1.0.3                  KernSmooth_2.23-16         
    -#>  [33] DT_0.12                     promises_1.1.0             
    -#>  [35] gdata_2.18.0                DDRTree_0.1.5              
    -#>  [37] DelayedArray_0.12.2         limma_3.42.2               
    -#>  [39] vegan_2.5-6                 Hmisc_4.3-1                
    -#>  [41] ShortRead_1.44.3            apcluster_1.4.8            
    -#>  [43] RSpectra_0.16-0             msir_1.3.2                 
    -#>  [45] mnormt_1.5-6                digest_0.6.23              
    -#>  [47] png_0.1-7                   qlcMatrix_0.9.7            
    -#>  [49] sctransform_0.2.1           cowplot_1.0.0              
    -#>  [51] pkgconfig_2.0.3             docopt_0.6.1               
    -#>  [53] DelayedMatrixStats_1.8.0    ggbeeswarm_0.6.0           
    -#>  [55] iterators_1.0.12            minqa_1.2.4                
    -#>  [57] lavaan_0.6-5                reticulate_1.14            
    -#>  [59] SummarizedExperiment_1.16.1 spam_2.5-1                 
    -#>  [61] beeswarm_0.2.3              modeltools_0.2-22          
    -#>  [63] xfun_0.12                   zoo_1.8-7                  
    -#>  [65] tidyselect_1.0.0            ZIM_1.1.0                  
    -#>  [67] reshape2_1.4.3              purrr_0.3.3                
    -#>  [69] kernlab_0.9-29              EDASeq_2.20.0              
    -#>  [71] viridisLite_0.3.0           snow_0.4-3                 
    -#>  [73] rtracklayer_1.46.0          rlang_0.4.4                
    -#>  [75] hexbin_1.28.1               glue_1.3.1                 
    -#>  [77] RColorBrewer_1.1-2          fpc_2.2-5                  
    -#>  [79] matrixStats_0.55.0          stringr_1.4.0              
    -#>  [81] fields_10.3                 ggsignif_0.6.0             
    -#>  [83] DESeq2_1.26.0               SparseM_1.78               
    -#>  [85] httpuv_1.5.2                class_7.3-15               
    -#>  [87] BPSC_0.99.2                 BiocNeighbors_1.4.1        
    -#>  [89] annotate_1.64.0             jsonlite_1.6.1             
    -#>  [91] XVector_0.26.0              bit_1.1-15.1               
    -#>  [93] mime_0.9                    gridExtra_2.3              
    -#>  [95] gplots_3.0.1.2              Rsamtools_2.2.1            
    -#>  [97] zingeR_0.1.0                stringi_1.4.5              
    -#>  [99] gmodels_2.18.1              bitops_1.0-6               
    -#> [101] maps_3.3.0                  RSQLite_2.2.0              
    -#> [103] tidyr_1.0.2                 pheatmap_1.0.12            
    -#> [105] data.table_1.12.8           DEDS_1.60.0                
    -#> [107] rstudioapi_0.11             GenomicAlignments_1.22.1   
    -#> [109] nlme_3.1-144                qvalue_2.18.0              
    -#> [111] scran_1.14.6                fastcluster_1.1.25         
    -#> [113] locfit_1.5-9.1              scone_1.10.0               
    -#> [115] listenv_0.8.0               cobs_1.3-4                 
    -#> [117] R.oo_1.23.0                 prabclus_2.3-2             
    -#> [119] dbplyr_1.4.2                segmented_1.1-0            
    -#> [121] BiocGenerics_0.32.0         lifecycle_0.1.0            
    -#> [123] ROTS_1.14.0                 munsell_0.5.0              
    -#> [125] R.methodsS3_1.7.1           moments_0.14               
    -#> [127] hwriter_1.3.2               caTools_1.18.0             
    -#> [129] codetools_0.2-16            coda_0.19-3                
    -#> [131] Biobase_2.46.0              GenomeInfoDb_1.22.0        
    -#> [133] vipor_0.4.5                 htmlTable_1.13.3           
    -#> [135] bayNorm_1.4.14              lsei_1.2-0                 
    -#> [137] rARPACK_0.11-0              xtable_1.8-4               
    -#> [139] SAVER_1.1.2                 ROCR_1.0-7                 
    -#> [141] diptest_0.75-7              formatR_1.7                
    -#> [143] lpsymphony_1.14.0           abind_1.4-5                
    -#> [145] FNN_1.1.3                   RANN_2.6.1                 
    -#> [147] askpass_1.1                 sparsesvd_0.2              
    -#> [149] CompQuadForm_1.4.3          GenomicRanges_1.38.0       
    -#> [151] tibble_2.1.3                ggdendro_0.1-20            
    -#> [153] cluster_2.1.0               future.apply_1.4.0         
    -#> [155] Matrix_1.2-18               prettyunits_1.1.1          
    -#> [157] shinyBS_0.61                NOISeq_2.30.0              
    -#> [159] shinydashboard_0.7.1        mclust_5.4.5               
    -#> [161] igraph_1.2.4.2              ggstance_0.3.3             
    -#> [163] slam_0.1-47                 testthat_2.3.1             
    -#> [165] doSNOW_1.0.18               htmltools_0.4.0            
    -#> [167] BiocFileCache_1.10.2        yaml_2.2.1                 
    -#> [169] GenomicFeatures_1.38.1      XML_3.99-0.3               
    -#> [171] ggpubr_0.2.4                DrImpute_1.0               
    -#> [173] foreign_0.8-75              fitdistrplus_1.0-14        
    -#> [175] BiocParallel_1.20.1         aroma.light_3.16.0         
    -#> [177] bit64_0.9-7                 rngtools_1.5               
    -#> [179] doRNG_1.8.2                 foreach_1.4.8              
    -#> [181] robustbase_0.93-5           outliers_0.14              
    -#> [183] Biostrings_2.54.0           combinat_0.0-8             
    -#> [185] rsvd_1.0.2                  iCOBRA_1.14.0              
    -#> [187] memoise_1.1.0               evaluate_0.14              
    -#> [189] VGAM_1.1-2                  nonnest2_0.5-2             
    -#> [191] geneplotter_1.64.0          permute_0.9-5              
    -#> [193] curl_4.3                    fdrtool_1.2.15             
    -#> [195] acepack_1.4.1               edgeR_3.28.0               
    -#> [197] checkmate_2.0.0             npsurv_0.4-0               
    -#> [199] truncnorm_1.0-8             DECENT_1.1.0               
    -#> [201] tensorA_0.36.1              ellipse_0.4.1              
    -#> [203] ggplot2_3.2.1               ggrepel_0.8.1              
    -#> [205] scDD_1.10.0                 tools_3.6.2                
    -#> [207] sandwich_2.5-1              magrittr_1.5               
    -#> [209] RCurl_1.98-1.1              pbivnorm_0.6.0             
    -#> [211] bayesm_3.1-4                EBSeq_1.26.0               
    -#> [213] httr_1.4.1                  assertthat_0.2.1           
    -#> [215] rmarkdown_2.1               boot_1.3-24                
    -#> [217] globals_0.12.5              R6_2.4.1                   
    -#> [219] Rhdf5lib_1.8.0              nnet_7.3-12                
    -#> [221] progress_1.2.2              genefilter_1.68.0          
    -#> [223] gtools_3.8.1                statmod_1.4.33             
    -#> [225] BiocSingular_1.2.1          rhdf5_2.30.1               
    -#> [227] splines_3.6.2               colorspace_1.4-1           
    -#> [229] amap_0.8-18                 generics_0.0.2             
    -#> [231] stats4_3.6.2                NBPSeq_0.3.0               
    -#> [233] base64enc_0.1-3             compositions_1.40-3        
    -#> [235] baySeq_2.20.0               pillar_1.4.3               
    -#> [237] HSMMSingleCell_1.6.0        GenomeInfoDbData_1.2.2     
    -#> [239] plyr_1.8.5                  dotCall64_1.0-0            
    -#> [241] gtable_0.3.0                SCnorm_1.8.2               
    -#> [243] monocle_2.14.0              knitr_1.28                 
    -#> [245] RcppArmadillo_0.9.850.1.0   latticeExtra_0.6-29        
    -#> [247] biomaRt_2.42.0              IRanges_2.20.2             
    -#> [249] fastmap_1.0.1               doParallel_1.0.15          
    -#> [251] pscl_1.5.2                  flexmix_2.3-15             
    -#> [253] quantreg_5.54               AnnotationDbi_1.48.0       
    -#> [255] broom_0.5.4                 openssl_1.4.1              
    -#> [257] scales_1.1.0                arm_1.10-1                 
    -#> [259] backports_1.1.5             plotrix_3.7-7              
    -#> [261] IHW_1.14.0                  S4Vectors_0.24.3           
    -#> [263] densityClust_0.3            lme4_1.1-21                
    -#> [265] hms_0.5.3                   DESeq_1.38.0               
    -#> [267] Rtsne_0.15                  dplyr_0.8.4                
    -#> [269] shiny_1.4.0                 grid_3.6.2                 
    -#> [271] lazyeval_0.2.2              Formula_1.2-3              
    -#> [273] blockmodeling_0.3.4         crayon_1.3.4               
    -#> [275] MAST_1.12.0                 RUVSeq_1.20.0              
    -#> [277] viridis_0.5.1               rpart_4.1-15               
    -#> [279] zinbwave_1.8.0              compiler_3.6.2
    +R Session Info +
    library(powsimR)
    +#> Loading required package: gamlss.dist
    +#> Loading required package: MASS
    +#> Warning: replacing previous import 'DECENT::lrTest' by 'MAST::lrTest' when
    +#> loading 'powsimR'
    +#> Registered S3 methods overwritten by 'lme4':
    +#>   method                          from
    +#>   cooks.distance.influence.merMod car 
    +#>   influence.merMod                car 
    +#>   dfbeta.influence.merMod         car 
    +#>   dfbetas.influence.merMod        car
    +#> Warning: replacing previous import 'penalized::predict' by 'stats::predict' when
    +#> loading 'powsimR'
    +#> Warning: replacing previous import 'zinbwave::glmWeightedF' by
    +#> 'zingeR::glmWeightedF' when loading 'powsimR'
    +sessionInfo()
    +#> R version 4.0.1 (2020-06-06)
    +#> Platform: x86_64-pc-linux-gnu (64-bit)
    +#> Running under: Ubuntu 18.04.4 LTS
    +#> 
    +#> Matrix products: default
    +#> BLAS:   /usr/lib/x86_64-linux-gnu/openblas/libblas.so.3
    +#> LAPACK: /usr/lib/x86_64-linux-gnu/libopenblasp-r0.2.20.so
    +#> 
    +#> locale:
    +#>  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
    +#>  [3] LC_TIME=de_DE.UTF-8        LC_COLLATE=en_US.UTF-8    
    +#>  [5] LC_MONETARY=de_DE.UTF-8    LC_MESSAGES=en_US.UTF-8   
    +#>  [7] LC_PAPER=de_DE.UTF-8       LC_NAME=C                 
    +#>  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
    +#> [11] LC_MEASUREMENT=de_DE.UTF-8 LC_IDENTIFICATION=C       
    +#> 
    +#> attached base packages:
    +#> [1] stats     graphics  grDevices utils     datasets  methods   base     
    +#> 
    +#> other attached packages:
    +#> [1] powsimR_1.2.2     gamlss.dist_5.1-6 MASS_7.3-51.6    
    +#> 
    +#> loaded via a namespace (and not attached):
    +#>   [1] mixtools_1.2.0              softImpute_1.4             
    +#>   [3] minpack.lm_1.2-1            lattice_0.20-41            
    +#>   [5] haven_2.3.1                 vctrs_0.3.1                
    +#>   [7] fastICA_1.2-2               mgcv_1.8-31                
    +#>   [9] penalized_0.9-51            blob_1.2.1                 
    +#>  [11] survival_3.2-3              Rmagic_2.0.3               
    +#>  [13] later_1.1.0.1               nloptr_1.2.2.1             
    +#>  [15] DBI_1.1.0                   R.utils_2.9.2              
    +#>  [17] SingleCellExperiment_1.10.1 rappdirs_0.3.1             
    +#>  [19] Linnorm_2.12.0              dqrng_0.2.1                
    +#>  [21] jpeg_0.1-8.1                zlibbioc_1.34.0            
    +#>  [23] MatrixModels_0.4-1          htmlwidgets_1.5.1          
    +#>  [25] mvtnorm_1.1-1               future_1.17.0              
    +#>  [27] UpSetR_1.4.0                parallel_4.0.1             
    +#>  [29] scater_1.16.1               irlba_2.3.3                
    +#>  [31] DEoptimR_1.0-8              Rcpp_1.0.4.6               
    +#>  [33] KernSmooth_2.23-17          DT_0.13                    
    +#>  [35] promises_1.1.1              gdata_2.18.0               
    +#>  [37] DDRTree_0.1.5               DelayedArray_0.14.0        
    +#>  [39] limma_3.44.3                vegan_2.5-6                
    +#>  [41] Hmisc_4.4-0                 ShortRead_1.46.0           
    +#>  [43] apcluster_1.4.8             RSpectra_0.16-0            
    +#>  [45] msir_1.3.2                  mnormt_2.0.0               
    +#>  [47] digest_0.6.25               png_0.1-7                  
    +#>  [49] qlcMatrix_0.9.7             sctransform_0.2.1          
    +#>  [51] cowplot_1.0.0               pkgconfig_2.0.3            
    +#>  [53] docopt_0.6.1                DelayedMatrixStats_1.10.0  
    +#>  [55] ggbeeswarm_0.6.0            iterators_1.0.12           
    +#>  [57] minqa_1.2.4                 lavaan_0.6-6               
    +#>  [59] reticulate_1.16             SummarizedExperiment_1.18.1
    +#>  [61] spam_2.5-1                  beeswarm_0.2.3             
    +#>  [63] modeltools_0.2-23           xfun_0.14                  
    +#>  [65] zoo_1.8-8                   tidyselect_1.1.0           
    +#>  [67] ZIM_1.1.0                   reshape2_1.4.4             
    +#>  [69] purrr_0.3.4                 kernlab_0.9-29             
    +#>  [71] EDASeq_2.22.0               viridisLite_0.3.0          
    +#>  [73] snow_0.4-3                  rtracklayer_1.48.0         
    +#>  [75] rlang_0.4.6                 hexbin_1.28.1              
    +#>  [77] glue_1.4.1                  RColorBrewer_1.1-2         
    +#>  [79] fpc_2.2-5                   matrixStats_0.56.0         
    +#>  [81] stringr_1.4.0               fields_10.3                
    +#>  [83] ggsignif_0.6.0              DESeq2_1.28.1              
    +#>  [85] SparseM_1.78                httpuv_1.5.4               
    +#>  [87] class_7.3-17                BPSC_0.99.2                
    +#>  [89] BiocNeighbors_1.6.0         annotate_1.66.0            
    +#>  [91] jsonlite_1.6.1              XVector_0.28.0             
    +#>  [93] tmvnsim_1.0-2               bit_1.1-15.2               
    +#>  [95] mime_0.9                    gridExtra_2.3              
    +#>  [97] gplots_3.0.3                Rsamtools_2.4.0            
    +#>  [99] zingeR_0.1.0                stringi_1.4.6              
    +#> [101] gmodels_2.18.1              bitops_1.0-6               
    +#> [103] maps_3.3.0                  RSQLite_2.2.0              
    +#> [105] tidyr_1.1.0                 pheatmap_1.0.12            
    +#> [107] data.table_1.12.8           rstudioapi_0.11            
    +#> [109] GenomicAlignments_1.24.0    nlme_3.1-148               
    +#> [111] qvalue_2.20.0               scran_1.16.0               
    +#> [113] fastcluster_1.1.25          locfit_1.5-9.4             
    +#> [115] scone_1.12.0                listenv_0.8.0              
    +#> [117] cobs_1.3-4                  R.oo_1.23.0                
    +#> [119] prabclus_2.3-2              dbplyr_1.4.4               
    +#> [121] segmented_1.1-0             BiocGenerics_0.34.0        
    +#> [123] readxl_1.3.1                lifecycle_0.2.0            
    +#> [125] ROTS_1.16.0                 munsell_0.5.0              
    +#> [127] cellranger_1.1.0            R.methodsS3_1.8.0          
    +#> [129] moments_0.14                hwriter_1.3.2              
    +#> [131] caTools_1.18.0              codetools_0.2-16           
    +#> [133] coda_0.19-3                 Biobase_2.48.0             
    +#> [135] GenomeInfoDb_1.24.2         vipor_0.4.5                
    +#> [137] htmlTable_1.13.3            bayNorm_1.6.0              
    +#> [139] rARPACK_0.11-0              xtable_1.8-4               
    +#> [141] SAVER_1.1.2                 ROCR_1.0-11                
    +#> [143] diptest_0.75-7              formatR_1.7                
    +#> [145] lpsymphony_1.16.0           abind_1.4-5                
    +#> [147] FNN_1.1.3                   RANN_2.6.1                 
    +#> [149] askpass_1.1                 sparsesvd_0.2              
    +#> [151] CompQuadForm_1.4.3          GenomicRanges_1.40.0       
    +#> [153] tibble_3.0.1                ggdendro_0.1-20            
    +#> [155] cluster_2.1.0               future.apply_1.5.0         
    +#> [157] Matrix_1.2-18               ellipsis_0.3.1             
    +#> [159] prettyunits_1.1.1           shinyBS_0.61               
    +#> [161] NOISeq_2.31.0               shinydashboard_0.7.1       
    +#> [163] mclust_5.4.6                igraph_1.2.5               
    +#> [165] ggstance_0.3.4              slam_0.1-47                
    +#> [167] testthat_2.3.2              doSNOW_1.0.18              
    +#> [169] htmltools_0.5.0             BiocFileCache_1.12.0       
    +#> [171] yaml_2.2.1                  GenomicFeatures_1.40.0     
    +#> [173] XML_3.99-0.3                ggpubr_0.3.0               
    +#> [175] DrImpute_1.0                foreign_0.8-80             
    +#> [177] fitdistrplus_1.1-1          BiocParallel_1.22.0        
    +#> [179] aroma.light_3.18.0          bit64_0.9-7                
    +#> [181] foreach_1.5.0               robustbase_0.93-6          
    +#> [183] outliers_0.14               Biostrings_2.56.0          
    +#> [185] combinat_0.0-8              rsvd_1.0.3                 
    +#> [187] iCOBRA_1.16.0               memoise_1.1.0              
    +#> [189] evaluate_0.14               VGAM_1.1-3                 
    +#> [191] nonnest2_0.5-3              forcats_0.5.0              
    +#> [193] rio_0.5.16                  geneplotter_1.66.0         
    +#> [195] permute_0.9-5               curl_4.3                   
    +#> [197] fdrtool_1.2.15              acepack_1.4.1              
    +#> [199] edgeR_3.30.3                checkmate_2.0.0            
    +#> [201] truncnorm_1.0-8             DECENT_1.1.0               
    +#> [203] tensorA_0.36.1              ellipse_0.4.2              
    +#> [205] ggplot2_3.3.1               openxlsx_4.1.5             
    +#> [207] rstatix_0.5.0               ggrepel_0.8.2              
    +#> [209] scDD_1.12.0                 tools_4.0.1                
    +#> [211] sandwich_2.5-1              magrittr_1.5               
    +#> [213] RCurl_1.98-1.2              car_3.0-8                  
    +#> [215] pbivnorm_0.6.0              bayesm_3.1-4               
    +#> [217] EBSeq_1.28.0                httr_1.4.1                 
    +#> [219] assertthat_0.2.1            rmarkdown_2.2              
    +#> [221] boot_1.3-25                 globals_0.12.5             
    +#> [223] R6_2.4.1                    Rhdf5lib_1.10.0            
    +#> [225] nnet_7.3-14                 progress_1.2.2             
    +#> [227] genefilter_1.70.0           gtools_3.8.2               
    +#> [229] statmod_1.4.34              BiocSingular_1.4.0         
    +#> [231] rhdf5_2.32.0                splines_4.0.1              
    +#> [233] carData_3.0-4               colorspace_1.4-1           
    +#> [235] amap_0.8-18                 generics_0.0.2             
    +#> [237] stats4_4.0.1                NBPSeq_0.3.0               
    +#> [239] base64enc_0.1-3             compositions_1.40-5        
    +#> [241] baySeq_2.22.0               pillar_1.4.4               
    +#> [243] HSMMSingleCell_1.8.0        GenomeInfoDbData_1.2.3     
    +#> [245] plyr_1.8.6                  dotCall64_1.0-0            
    +#> [247] gtable_0.3.0                zip_2.0.4                  
    +#> [249] SCnorm_1.10.0               monocle_2.16.0             
    +#> [251] knitr_1.28                  RcppArmadillo_0.9.900.1.0  
    +#> [253] latticeExtra_0.6-29         biomaRt_2.44.0             
    +#> [255] IRanges_2.22.2              fastmap_1.0.1              
    +#> [257] doParallel_1.0.15           pscl_1.5.5                 
    +#> [259] flexmix_2.3-15              quantreg_5.55              
    +#> [261] AnnotationDbi_1.50.0        broom_0.5.6                
    +#> [263] openssl_1.4.1               scales_1.1.1               
    +#> [265] arm_1.11-1                  backports_1.1.8            
    +#> [267] plotrix_3.7-8               IHW_1.16.0                 
    +#> [269] S4Vectors_0.26.1            densityClust_0.3           
    +#> [271] lme4_1.1-23                 hms_0.5.3                  
    +#> [273] DESeq_1.39.0                Rtsne_0.15                 
    +#> [275] dplyr_1.0.0                 shiny_1.4.0.2              
    +#> [277] grid_4.0.1                  Formula_1.2-3              
    +#> [279] blockmodeling_0.3.6         crayon_1.3.4               
    +#> [281] MAST_1.14.0                 RUVSeq_1.22.0              
    +#> [283] viridis_0.5.1               rpart_4.1-15               
    +#> [285] zinbwave_1.10.0             compiler_4.0.1
    -
    -

    Site built with pkgdown 1.4.1.

    +

    Site built with pkgdown 1.5.1.

    diff --git a/docs/reference/GeneLengths_hg19.html b/docs/reference/GeneLengths_hg19.html index 3200adb..1169dcd 100644 --- a/docs/reference/GeneLengths_hg19.html +++ b/docs/reference/GeneLengths_hg19.html @@ -10,23 +10,27 @@ - + - + - + + + + + - - + + - + - - + + @@ -37,7 +41,6 @@ - @@ -55,7 +58,7 @@ - +
    @@ -93,7 +96,7 @@
    - @@ -148,7 +148,7 @@

    Contents

    -

    Site built with pkgdown 1.4.1.

    +

    Site built with pkgdown 1.5.1.

    diff --git a/docs/reference/GeneLengths_mm10.html b/docs/reference/GeneLengths_mm10.html index 0a82b37..f30f085 100644 --- a/docs/reference/GeneLengths_mm10.html +++ b/docs/reference/GeneLengths_mm10.html @@ -10,23 +10,27 @@ - + - + - + + + + + - - + + - + - - + + @@ -37,7 +41,6 @@ - @@ -55,7 +58,7 @@ - +
    @@ -93,7 +96,7 @@
    - @@ -148,7 +148,7 @@

    Contents

    -

    Site built with pkgdown 1.4.1.

    +

    Site built with pkgdown 1.5.1.

    diff --git a/docs/reference/Setup.html b/docs/reference/Setup.html index 69ec618..31a1dff 100644 --- a/docs/reference/Setup.html +++ b/docs/reference/Setup.html @@ -6,27 +6,31 @@ -Setup options for RNA-seq count simulations. — Setup • powsimR +Setup options for RNA-seq count simulations — Setup • powsimR - + - + - + + + + + - - + + - + - - + + @@ -35,14 +39,13 @@ - - + - @@ -60,7 +63,7 @@ - +
    @@ -98,7 +101,7 @@