From ef584753f7c5679e5c0d516f0ab279a26618e1d0 Mon Sep 17 00:00:00 2001 From: stemangiola Date: Sun, 21 Mar 2021 13:59:21 +1100 Subject: [PATCH 01/24] drop comment --- R/functions.R | 8 -------- 1 file changed, 8 deletions(-) diff --git a/R/functions.R b/R/functions.R index 3467183f..d42bcfb0 100755 --- a/R/functions.R +++ b/R/functions.R @@ -2682,14 +2682,6 @@ get_adjusted_counts_for_unwanted_variation_bulk <- function(.data, # Reset column names dplyr::rename(!!value_adjusted := !!.abundance) %>% - # # Add filtering info - # right_join( - # df_for_combat %>% - # distinct(!!.transcript,!!.sample, - # lowly_abundant), - # by = c(quo_name(.transcript), quo_name(.sample)) - # )%>% - # Attach attributes reattach_internals(.data) %>% memorise_methods_used("sva") From 59045424fd2cfa088c94faa0d5c213f3b62668bd Mon Sep 17 00:00:00 2001 From: stemangiola Date: Mon, 22 Mar 2021 16:53:30 +1100 Subject: [PATCH 02/24] fix overrepresentation for SE --- R/methods_SE.R | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/R/methods_SE.R b/R/methods_SE.R index 4527422e..d872c6fd 100755 --- a/R/methods_SE.R +++ b/R/methods_SE.R @@ -1486,8 +1486,7 @@ setMethod("test_gene_enrichment", stop(sprintf("tidybulk says: wrong species name. MSigDB uses the latin species names (e.g., %s)", paste(msigdbr::msigdbr_species()$species_name, collapse=", "))) .data %>% - rowData() %>% - as_tibble() %>% + pivot_transcript() %>% filter(!!.do_test) %>% distinct(!!.entrez) %>% pull(!!.entrez) %>% From 01e7804f8a596d7faf45678985b8fb3b6d063977 Mon Sep 17 00:00:00 2001 From: stemangiola Date: Tue, 6 Apr 2021 13:03:11 +1000 Subject: [PATCH 03/24] allow external TMM scaling, used internally for heterogeneity single cell project --- R/functions.R | 29 +++++++++++++++++-- R/functions_SE.R | 3 +- R/methods.R | 7 +++-- R/methods_SE.R | 6 ++-- ..._differential_transcript_abundance_bulk.Rd | 5 +++- ...fferential_transcript_abundance_bulk_SE.Rd | 3 +- man/test_differential_abundance-methods.Rd | 24 +++++++++++++-- 7 files changed, 65 insertions(+), 12 deletions(-) diff --git a/R/functions.R b/R/functions.R index d42bcfb0..b9316232 100755 --- a/R/functions.R +++ b/R/functions.R @@ -289,6 +289,7 @@ get_scaled_counts_bulk <- function(.data, #' @param test_above_log2_fold_change A positive real value. At the moment this works just for edgeR methods, and use the `treat` function, which test the that the difference in abundance is bigger than this parameter rather than zero \url{https://www.rdocumentation.org/packages/edgeR/versions/3.14.0/topics/glmTreat}. #' @param scaling_method A character string. The scaling method passed to the backend function (i.e., edgeR::calcNormFactors; "TMM","TMMwsp","RLE","upperquartile") #' @param omit_contrast_in_colnames If just one contrast is specified you can choose to omit the contrast label in the colnames. +#' @param .sample_total_read_count #' #' @return A tibble with edgeR results #' @@ -302,12 +303,14 @@ get_differential_transcript_abundance_bulk <- function(.data, test_above_log2_fold_change = NULL, scaling_method = "TMM", omit_contrast_in_colnames = FALSE, - prefix = "") { + prefix = "", + .sample_total_read_count = NULL) { # Get column names .sample = enquo(.sample) .transcript = enquo(.transcript) .abundance = enquo(.abundance) - + .sample_total_read_count = enquo(.sample_total_read_count) + # Check if omit_contrast_in_colnames is correctly setup if(omit_contrast_in_colnames & length(.contrasts) > 1){ warning("tidybulk says: you can omit contrasts in column names only when maximum one contrast is present") @@ -400,6 +403,26 @@ get_differential_transcript_abundance_bulk <- function(.data, edgeR::DGEList(counts = .) %>% + # Override lib.size if imposed + # This is useful in case you are analysing a small amount of genes, + # for which the overall lib.size cannot be calculated + when( + !quo_is_null(.sample_total_read_count) ~ { + + # New library size dataset + new_lib_size = .data %>% pivot_sample(!!.sample) %>% select(!!.sample, !!.sample_total_read_count) + + x = (.) + x$samples$lib.size = + new_lib_size %>% + slice(match(rownames(x$samples), !!.sample)) %>% + pull(!!.sample_total_read_count) + + x + }, + ~ (.) + ) %>% + # Scale data if method is not "none" when( scaling_method != "none" ~ (.) %>% edgeR::calcNormFactors(method = scaling_method), @@ -413,7 +436,7 @@ get_differential_transcript_abundance_bulk <- function(.data, tolower(method) == "edger_robust_likelihood_ratio" ~ (.) %>% edgeR::estimateGLMRobustDisp(design) %>% edgeR::glmFit(design) ) - + edgeR_object %>% # If I have multiple .contrasts merge the results diff --git a/R/functions_SE.R b/R/functions_SE.R index e94c940b..3d51ef29 100755 --- a/R/functions_SE.R +++ b/R/functions_SE.R @@ -580,7 +580,8 @@ get_differential_transcript_abundance_bulk_SE <- function(.data, test_above_log2_fold_change = NULL, scaling_method = "TMM", omit_contrast_in_colnames = FALSE, - prefix = "") { + prefix = "", + ...) { # Check if omit_contrast_in_colnames is correctly setup if(omit_contrast_in_colnames & length(.contrasts) > 1){ diff --git a/R/methods.R b/R/methods.R index 2df66606..bcece90f 100755 --- a/R/methods.R +++ b/R/methods.R @@ -2046,7 +2046,7 @@ setMethod("ensembl_to_symbol", "tidybulk", .ensembl_to_symbol) #' @param action A character string. Whether to join the new information to the input tbl (add), or just get the non-redundant tbl with the new information (get). #' @param significance_threshold DEPRECATED - A real between 0 and 1 (usually 0.05). #' @param fill_missing_values DEPRECATED - A boolean. Whether to fill missing sample/transcript values with the median of the transcript. This is rarely needed. -#' +#' @param ... Further arguments passed to some of the internal functions. Currently, it is needed just for internal debug. #' #' #' @details This function provides the option to use edgeR \url{https://doi.org/10.1093/bioinformatics/btp616}, limma-voom \url{https://doi.org/10.1186/gb-2014-15-2-r29}, limma_voom_sample_weights \url{https://doi.org/10.1093/nar/gkv412} or DESeq2 \url{https://doi.org/10.1186/s13059-014-0550-8} to perform the testing. @@ -2147,6 +2147,7 @@ setGeneric("test_differential_abundance", function(.data, omit_contrast_in_colnames = FALSE, prefix = "", action = "add", + ..., # DEPRECATED significance_threshold = NULL, @@ -2168,6 +2169,7 @@ setGeneric("test_differential_abundance", function(.data, prefix = "", action = "add", + ..., # DEPRECATED significance_threshold = NULL, @@ -2244,7 +2246,8 @@ such as batch effects (if applicable) in the formula. test_above_log2_fold_change = test_above_log2_fold_change, scaling_method = scaling_method, omit_contrast_in_colnames = omit_contrast_in_colnames, - prefix = prefix + prefix = prefix, + ... ), # Voom diff --git a/R/methods_SE.R b/R/methods_SE.R index d872c6fd..f5206d3a 100755 --- a/R/methods_SE.R +++ b/R/methods_SE.R @@ -923,7 +923,8 @@ setMethod( test_above_log2_fold_change = NULL, scaling_method = "TMM", omit_contrast_in_colnames = FALSE, - prefix = "") + prefix = "", + ...) { # Clearly state what counts are used @@ -958,7 +959,8 @@ such as batch effects (if applicable) in the formula. test_above_log2_fold_change = test_above_log2_fold_change, scaling_method = scaling_method, omit_contrast_in_colnames = omit_contrast_in_colnames, - prefix = prefix + prefix = prefix, + ... ), # Voom diff --git a/man/get_differential_transcript_abundance_bulk.Rd b/man/get_differential_transcript_abundance_bulk.Rd index ebe48671..170f7ab0 100755 --- a/man/get_differential_transcript_abundance_bulk.Rd +++ b/man/get_differential_transcript_abundance_bulk.Rd @@ -15,7 +15,8 @@ get_differential_transcript_abundance_bulk( test_above_log2_fold_change = NULL, scaling_method = "TMM", omit_contrast_in_colnames = FALSE, - prefix = "" + prefix = "", + .sample_total_read_count = NULL ) } \arguments{ @@ -38,6 +39,8 @@ get_differential_transcript_abundance_bulk( \item{scaling_method}{A character string. The scaling method passed to the backend function (i.e., edgeR::calcNormFactors; "TMM","TMMwsp","RLE","upperquartile")} \item{omit_contrast_in_colnames}{If just one contrast is specified you can choose to omit the contrast label in the colnames.} + +\item{.sample_total_read_count}{} } \value{ A tibble with edgeR results diff --git a/man/get_differential_transcript_abundance_bulk_SE.Rd b/man/get_differential_transcript_abundance_bulk_SE.Rd index 5e62a708..58f9ed46 100755 --- a/man/get_differential_transcript_abundance_bulk_SE.Rd +++ b/man/get_differential_transcript_abundance_bulk_SE.Rd @@ -13,7 +13,8 @@ get_differential_transcript_abundance_bulk_SE( test_above_log2_fold_change = NULL, scaling_method = "TMM", omit_contrast_in_colnames = FALSE, - prefix = "" + prefix = "", + ... ) } \arguments{ diff --git a/man/test_differential_abundance-methods.Rd b/man/test_differential_abundance-methods.Rd index 07076bb7..1e1ef1dc 100755 --- a/man/test_differential_abundance-methods.Rd +++ b/man/test_differential_abundance-methods.Rd @@ -23,6 +23,7 @@ test_differential_abundance( omit_contrast_in_colnames = FALSE, prefix = "", action = "add", + ..., significance_threshold = NULL, fill_missing_values = NULL ) @@ -40,6 +41,7 @@ test_differential_abundance( omit_contrast_in_colnames = FALSE, prefix = "", action = "add", + ..., significance_threshold = NULL, fill_missing_values = NULL ) @@ -57,6 +59,7 @@ test_differential_abundance( omit_contrast_in_colnames = FALSE, prefix = "", action = "add", + ..., significance_threshold = NULL, fill_missing_values = NULL ) @@ -74,6 +77,7 @@ test_differential_abundance( omit_contrast_in_colnames = FALSE, prefix = "", action = "add", + ..., significance_threshold = NULL, fill_missing_values = NULL ) @@ -81,23 +85,37 @@ test_differential_abundance( \S4method{test_differential_abundance}{SummarizedExperiment}( .data, .formula, + .sample = NULL, + .transcript = NULL, + .abundance = NULL, .contrasts = NULL, method = "edgeR_quasi_likelihood", test_above_log2_fold_change = NULL, scaling_method = "TMM", omit_contrast_in_colnames = FALSE, - prefix = "" + prefix = "", + action = "add", + ..., + significance_threshold = NULL, + fill_missing_values = NULL ) \S4method{test_differential_abundance}{RangedSummarizedExperiment}( .data, .formula, + .sample = NULL, + .transcript = NULL, + .abundance = NULL, .contrasts = NULL, method = "edgeR_quasi_likelihood", test_above_log2_fold_change = NULL, scaling_method = "TMM", omit_contrast_in_colnames = FALSE, - prefix = "" + prefix = "", + action = "add", + ..., + significance_threshold = NULL, + fill_missing_values = NULL ) } \arguments{ @@ -125,6 +143,8 @@ test_differential_abundance( \item{action}{A character string. Whether to join the new information to the input tbl (add), or just get the non-redundant tbl with the new information (get).} +\item{...}{Further arguments passed to some of the internal functions. Currently, it is needed just for internal debug.} + \item{significance_threshold}{DEPRECATED - A real between 0 and 1 (usually 0.05).} \item{fill_missing_values}{DEPRECATED - A boolean. Whether to fill missing sample/transcript values with the median of the transcript. This is rarely needed.} From 338a4b8c8393bb50ea2e8670fbfd94c0e5ed06e4 Mon Sep 17 00:00:00 2001 From: stemangiola Date: Wed, 7 Apr 2021 10:39:17 +1000 Subject: [PATCH 04/24] revert back the old plotMDS strategy --- R/functions.R | 78 +++++++++++++++++++----------- R/functions_SE.R | 52 ++++++++++++++++++-- R/methods_SE.R | 45 ++++++++++------- R/utilities.R | 8 +++ tests/testthat/test-bulk_methods.R | 6 +-- 5 files changed, 134 insertions(+), 55 deletions(-) diff --git a/R/functions.R b/R/functions.R index d42bcfb0..d529d657 100755 --- a/R/functions.R +++ b/R/functions.R @@ -1485,44 +1485,65 @@ get_reduced_dimensions_MDS_bulk <- log_transform = TRUE) { # Comply with CRAN NOTES . = NULL - + # Get column names .element = enquo(.element) .feature = enquo(.feature) .abundance = enquo(.abundance) - + # Get components from dims components = 1:.dims - + + + # Convert components to components list + if((length(components) %% 2) != 0 ) components = components %>% append(components[1]) + components_list = split(components, ceiling(seq_along(components)/2)) + + # Loop over components list and calculate MDS. (I have to make this process more elegant) mds_object = - .data %>% - - distinct(!!.feature,!!.element,!!.abundance) %>% - - # Check if log transform is needed - ifelse_pipe(log_transform, - ~ .x %>% dplyr::mutate(!!.abundance := !!.abundance %>% log1p())) %>% - - # Stop any column is not if not numeric or integer - ifelse_pipe( - (.) %>% select(!!.abundance) %>% summarise_all(class) %>% `%in%`(c("numeric", "integer")) %>% not() %>% any(), - ~ stop("tidybulk says: .abundance must be numerical or integer") - ) %>% - spread(!!.element,!!.abundance) %>% - as_matrix(rownames = !!.feature, do_check = FALSE) %>% - limma::plotMDS(ndim = .dims, plot = FALSE, top = top) - - # Parse results - mds_object %$% cmdscale.out %>% - as.data.frame %>% - as_tibble(rownames = quo_name(.element)) %>% - setNames(c(quo_name(.element), sprintf("Dim%s", 1:.dims))) %>% - - + components_list %>% + map( + ~ .data %>% + + distinct(!!.feature,!!.element,!!.abundance) %>% + + # Check if log transform is needed + ifelse_pipe(log_transform, + ~ .x %>% dplyr::mutate(!!.abundance := !!.abundance %>% log1p())) %>% + + # Stop any column is not if not numeric or integer + ifelse_pipe( + (.) %>% select(!!.abundance) %>% summarise_all(class) %>% `%in%`(c("numeric", "integer")) %>% `!`() %>% any(), + ~ stop(".abundance must be numerical or integer") + ) %>% + spread(!!.element,!!.abundance) %>% + as_matrix(rownames = !!.feature, do_check = FALSE) %>% + limma::plotMDS(dim.plot = .x, plot = FALSE, top = top) + ) + + map2_dfr( + mds_object, components_list, + ~ + tibble(rownames(.x$distance.matrix.squared), .x$x, .x$y) %>% + rename( + !!.element := `rownames(.x$distance.matrix.squared)`, + !!as.symbol(.y[1]) := `.x$x`, + !!as.symbol(.y[2]) := `.x$y` + ) %>% + gather(Component, `Component value`,-!!.element) + + ) %>% + distinct() %>% + spread(Component, `Component value`) %>% + setNames(c((.) %>% select(1) %>% colnames(), + paste0("Dim", (.) %>% select(-1) %>% colnames()) + )) %>% + + # Attach attributes reattach_internals(.data) %>% memorise_methods_used("limma") %>% - + # Add raw object attach_to_internals(mds_object, "MDS") %>% # Communicate the attribute added @@ -1530,7 +1551,6 @@ get_reduced_dimensions_MDS_bulk <- message("tidybulk says: to access the raw results do `attr(..., \"internals\")$MDS`") (.) } - } #' Get principal component information to a tibble using PCA diff --git a/R/functions_SE.R b/R/functions_SE.R index e94c940b..ab223cb5 100755 --- a/R/functions_SE.R +++ b/R/functions_SE.R @@ -141,21 +141,63 @@ get_reduced_dimensions_MDS_bulk_SE <- # Get components from dims components = 1:.dims - mds_object = limma::plotMDS(.data, ndim = .dims, plot = FALSE, top = top) + + # Convert components to components list + if((length(components) %% 2) != 0 ) components = components %>% append(components[1]) + components_list = split(components, ceiling(seq_along(components)/2)) + + # Loop over components list and calculate MDS. (I have to make this process more elegant) + mds_object = + components_list %>% + map( + ~ .data %>% + + distinct(!!.feature,!!.element,!!.abundance) %>% + + # Check if log transform is needed + ifelse_pipe(log_transform, + ~ .x %>% dplyr::mutate(!!.abundance := !!.abundance %>% log1p())) %>% + + # Stop any column is not if not numeric or integer + ifelse_pipe( + (.) %>% select(!!.abundance) %>% summarise_all(class) %>% `%in%`(c("numeric", "integer")) %>% `!`() %>% any(), + ~ stop(".abundance must be numerical or integer") + ) %>% + spread(!!.element,!!.abundance) %>% + as_matrix(rownames = !!.feature, do_check = FALSE) %>% + limma::plotMDS(dim.plot = .x, plot = FALSE, top = top) + ) # Return list( raw_result = mds_object, result = - # Parse results - mds_object %$% cmdscale.out %>% - as.data.frame %>% - setNames(c(sprintf("Dim%s", 1:.dims))) + map2_dfr( + mds_object, components_list, + ~ + tibble(rownames(.x$distance.matrix.squared), .x$x, .x$y) %>% + rename( + !!.element := `rownames(.x$distance.matrix.squared)`, + !!as.symbol(.y[1]) := `.x$x`, + !!as.symbol(.y[2]) := `.x$y` + ) %>% + gather(Component, `Component value`,-!!.element) + + ) %>% + distinct() %>% + spread(Component, `Component value`) %>% + setNames(c((.) %>% select(1) %>% colnames(), + paste0("Dim", (.) %>% select(-1) %>% colnames()) + )) ) } + + + + #' Get principal component information to a tibble using PCA #' #' @keywords internal diff --git a/R/methods_SE.R b/R/methods_SE.R index d872c6fd..0e83db1c 100755 --- a/R/methods_SE.R +++ b/R/methods_SE.R @@ -1109,15 +1109,15 @@ setMethod("keep_variable", .sample = NULL, .transcript = NULL, .abundance = NULL, - factor_of_interest = NULL, - minimum_counts = 10, - minimum_proportion = 0.7) + factor_of_interest = NULL, + minimum_counts = 10, + minimum_proportion = 0.7) { factor_of_interest = enquo(factor_of_interest) - + # Check factor_of_interest if( !is.null(factor_of_interest) && @@ -1125,48 +1125,56 @@ setMethod("keep_variable", (quo_name(factor_of_interest) %in% colnames(colData(.data)) %>% not()) ) stop(sprintf("tidybulk says: the column %s is not present in colData", quo_name(factor_of_interest))) - + if (minimum_counts < 0) stop("The parameter minimum_counts must be > 0") if (minimum_proportion < 0 | minimum_proportion > 1) stop("The parameter minimum_proportion must be between 0 and 1") - + # If column is present use this instead of doing more work if(".abundant" %in% colnames(colData(.data))){ message("tidybulk says: the column .abundant already exists in colData. Nothing was done") - + # Return return(.data) } - - + + string_factor_of_interest = - + factor_of_interest %>% when( - quo_is_symbol(factor_of_interest) && + quo_is_symbol(factor_of_interest) && ( colData(.data)[, quo_name(factor_of_interest)] %>% - class %in% c("numeric", "integer", "double")) ~ + class %in% c("numeric", "integer", "double")) ~ { message("tidybulk says: The factor of interest is continuous (e.g., integer,numeric, double). The data will be filtered without grouping.") NULL }, - quo_is_symbol(factor_of_interest) ~ + quo_is_symbol(factor_of_interest) ~ colData(.data)[, quo_name(factor_of_interest)], ~ NULL ) - + + # Check if package is installed, otherwise install + if (find.package("edgeR", quiet = TRUE) %>% length %>% equals(0)) { + message("Installing edgeR needed for analyses") + if (!requireNamespace("BiocManager", quietly = TRUE)) + install.packages("BiocManager", repos = "https://cloud.r-project.org") + BiocManager::install("edgeR", ask = FALSE) + } + # Get gene to exclude gene_to_exclude = .data %>% - + # Extract assay assays() %>% as.list() %>% .[[1]] %>% - + # Call edgeR edgeR::filterByExpr( min.count = minimum_counts, @@ -1176,14 +1184,15 @@ setMethod("keep_variable", not() %>% which %>% names - + rowData(.data)$.abundant = (rownames(rowData(.data)) %in% gene_to_exclude) %>% not() - + # Return .data } + #' identify_abundant #' @inheritParams identify_abundant #' diff --git a/R/utilities.R b/R/utilities.R index d1eb7ce1..b6237dab 100755 --- a/R/utilities.R +++ b/R/utilities.R @@ -1115,6 +1115,14 @@ add_scaled_counts_bulk.get_low_expressed <- function(.data, factor_of_interest = enquo(factor_of_interest) + # Check if package is installed, otherwise install + if (find.package("edgeR", quiet = TRUE) %>% length %>% equals(0)) { + message("Installing edgeR needed for differential transcript abundance analyses") + if (!requireNamespace("BiocManager", quietly = TRUE)) + install.packages("BiocManager", repos = "https://cloud.r-project.org") + BiocManager::install("edgeR", ask = FALSE) + } + # Check if factor_of_interest is continuous and exists string_factor_of_interest = diff --git a/tests/testthat/test-bulk_methods.R b/tests/testthat/test-bulk_methods.R index 087c06c9..675c2f04 100755 --- a/tests/testthat/test-bulk_methods.R +++ b/tests/testthat/test-bulk_methods.R @@ -1099,7 +1099,7 @@ test_that("Only reduced dimensions MDS - no object",{ 3 ) - expect_equal( class(attr(res, "internals")$MDS)[1], "MDS" ) + expect_equal( class(attr(res, "internals")$MDS[[1]])[1], "MDS" ) # Duplicate genes/samples expect_error( @@ -1140,7 +1140,7 @@ test_that("Get reduced dimensions MDS - no object",{ nrow(res), 5 ) - expect_equal( class(attr(res, "internals")$MDS)[1], "MDS" ) + expect_equal( class(attr(res, "internals")$MDS[[1]])[1], "MDS" ) }) test_that("Add reduced dimensions MDS - no object",{ @@ -1166,7 +1166,7 @@ test_that("Add reduced dimensions MDS - no object",{ 9 ) - expect_equal( class(attr(res, "internals")$MDS)[1], "MDS" ) + expect_equal( class(attr(res, "internals")$MDS[[1]])[1], "MDS" ) }) test_that("Only reduced dimensions PCA - no object",{ From cc95fd4ef0ebca0ab69e960b9242391e3ce00680 Mon Sep 17 00:00:00 2001 From: stemangiola Date: Wed, 7 Apr 2021 16:15:29 +1000 Subject: [PATCH 05/24] fix SE functions --- R/functions_SE.R | 25 ++++++------------------- 1 file changed, 6 insertions(+), 19 deletions(-) diff --git a/R/functions_SE.R b/R/functions_SE.R index ab223cb5..eba314f6 100755 --- a/R/functions_SE.R +++ b/R/functions_SE.R @@ -151,20 +151,6 @@ get_reduced_dimensions_MDS_bulk_SE <- components_list %>% map( ~ .data %>% - - distinct(!!.feature,!!.element,!!.abundance) %>% - - # Check if log transform is needed - ifelse_pipe(log_transform, - ~ .x %>% dplyr::mutate(!!.abundance := !!.abundance %>% log1p())) %>% - - # Stop any column is not if not numeric or integer - ifelse_pipe( - (.) %>% select(!!.abundance) %>% summarise_all(class) %>% `%in%`(c("numeric", "integer")) %>% `!`() %>% any(), - ~ stop(".abundance must be numerical or integer") - ) %>% - spread(!!.element,!!.abundance) %>% - as_matrix(rownames = !!.feature, do_check = FALSE) %>% limma::plotMDS(dim.plot = .x, plot = FALSE, top = top) ) @@ -177,18 +163,19 @@ get_reduced_dimensions_MDS_bulk_SE <- ~ tibble(rownames(.x$distance.matrix.squared), .x$x, .x$y) %>% rename( - !!.element := `rownames(.x$distance.matrix.squared)`, + sample := `rownames(.x$distance.matrix.squared)`, !!as.symbol(.y[1]) := `.x$x`, !!as.symbol(.y[2]) := `.x$y` ) %>% - gather(Component, `Component value`,-!!.element) + gather(Component, `Component value`,-sample) ) %>% distinct() %>% spread(Component, `Component value`) %>% setNames(c((.) %>% select(1) %>% colnames(), paste0("Dim", (.) %>% select(-1) %>% colnames()) - )) + )) %>% + select(-sample) ) @@ -293,7 +280,7 @@ we suggest to partition the dataset for sample clusters. # Parse the PCA results to a tibble x %>% as_tibble(rownames = "sample") %>% - select(sample, sprintf("PC%s", components)) + select(sprintf("PC%s", components)) ) @@ -376,7 +363,7 @@ get_reduced_dimensions_TSNE_bulk_SE <- # add element name dplyr::mutate(sample = !!.data %>% colnames) %>% - select(sample, everything()) + select(-sample) ) } From 07aac3b01de351cac11850d3f737ef2bb7007ab5 Mon Sep 17 00:00:00 2001 From: stemangiola Date: Thu, 8 Apr 2021 09:15:26 +1000 Subject: [PATCH 06/24] fix for old version --- R/functions.R | 25 +++++++++++++++++-------- R/functions_SE.R | 27 +++++++++++++++++++-------- 2 files changed, 36 insertions(+), 16 deletions(-) diff --git a/R/functions.R b/R/functions.R index d529d657..fcb76445 100755 --- a/R/functions.R +++ b/R/functions.R @@ -1523,14 +1523,23 @@ get_reduced_dimensions_MDS_bulk <- map2_dfr( mds_object, components_list, - ~ - tibble(rownames(.x$distance.matrix.squared), .x$x, .x$y) %>% - rename( - !!.element := `rownames(.x$distance.matrix.squared)`, - !!as.symbol(.y[1]) := `.x$x`, - !!as.symbol(.y[2]) := `.x$y` - ) %>% - gather(Component, `Component value`,-!!.element) + ~ { + # Change of function from Bioconductor 3_13 of plotMDS + my_rownames = .x %>% when( + "distance.matrix.squared" %in% names(.x) ~ .x$distance.matrix.squared, + ~ .x$distance.matrix + ) %>% + rownames() + + tibble(my_rownames, .x$x, .x$y) %>% + rename( + !!.element := my_rownames, + !!as.symbol(.y[1]) := `.x$x`, + !!as.symbol(.y[2]) := `.x$y` + ) %>% + gather(Component, `Component value`,-!!.element) + + } ) %>% distinct() %>% diff --git a/R/functions_SE.R b/R/functions_SE.R index eba314f6..4b7b24ca 100755 --- a/R/functions_SE.R +++ b/R/functions_SE.R @@ -160,14 +160,25 @@ get_reduced_dimensions_MDS_bulk_SE <- result = map2_dfr( mds_object, components_list, - ~ - tibble(rownames(.x$distance.matrix.squared), .x$x, .x$y) %>% - rename( - sample := `rownames(.x$distance.matrix.squared)`, - !!as.symbol(.y[1]) := `.x$x`, - !!as.symbol(.y[2]) := `.x$y` - ) %>% - gather(Component, `Component value`,-sample) + ~ { + + # Change of function from Bioconductor 3_13 of plotMDS + my_rownames = .x %>% when( + "distance.matrix.squared" %in% names(.x) ~ .x$distance.matrix.squared, + ~ .x$distance.matrix + ) %>% + rownames() + + tibble(my_rownames, .x$x, .x$y) %>% + rename( + sample := my_rownames, + !!as.symbol(.y[1]) := `.x$x`, + !!as.symbol(.y[2]) := `.x$y` + ) %>% + gather(Component, `Component value`,-sample) + + } + ) %>% distinct() %>% From b4a6f2722ca634c4205c77daf7b20be64bfbd957 Mon Sep 17 00:00:00 2001 From: stemangiola Date: Mon, 12 Apr 2021 16:51:07 +1000 Subject: [PATCH 07/24] fix scaling for PCA --- R/methods_SE.R | 1 + 1 file changed, 1 insertion(+) diff --git a/R/methods_SE.R b/R/methods_SE.R index d872c6fd..8929ff17 100755 --- a/R/methods_SE.R +++ b/R/methods_SE.R @@ -323,6 +323,7 @@ setMethod("cluster_elements", top = top, of_samples = of_samples, log_transform = log_transform, + scale=scale, ... ) From 5c3622bd289a598cc86a1c13665ca5902b4abe96 Mon Sep 17 00:00:00 2001 From: stemangiola Date: Mon, 12 Apr 2021 17:23:32 +1000 Subject: [PATCH 08/24] fix gene enrichment validation --- R/methods.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/methods.R b/R/methods.R index 2df66606..13e1ac47 100755 --- a/R/methods.R +++ b/R/methods.R @@ -2860,7 +2860,7 @@ setGeneric("test_gene_enrichment", function(.data, # Validate data frame if(do_validate()) { validation(.data, !!.sample, !!.entrez, !!.abundance) - warning_if_data_is_not_rectangular(.data, !!.sample, !!.transcript, !!.abundance) + warning_if_data_is_not_rectangular(.data, !!.sample, !!.entrez, !!.abundance) } .data %>% From 64fee8bead397f696b35bd4634bf52671d667054 Mon Sep 17 00:00:00 2001 From: Maria Doyle Date: Mon, 12 Apr 2021 13:49:58 +0100 Subject: [PATCH 09/24] Update actions to R 4.1 and Bioc 3.13 --- .github/workflows/check-bioc.yml | 32 +++++++++++++++++++++----------- 1 file changed, 21 insertions(+), 11 deletions(-) diff --git a/.github/workflows/check-bioc.yml b/.github/workflows/check-bioc.yml index 9e050e86..61e696b2 100644 --- a/.github/workflows/check-bioc.yml +++ b/.github/workflows/check-bioc.yml @@ -39,6 +39,7 @@ env: run_pkgdown: 'true' has_RUnit: 'false' cache-version: 'cache-v1' + run_docker: 'false' jobs: build-check: @@ -51,9 +52,9 @@ jobs: fail-fast: false matrix: config: - - { os: ubuntu-latest, r: '4.0', bioc: '3.12', cont: "bioconductor/bioconductor_docker:RELEASE_3_12", rspm: "https://packagemanager.rstudio.com/cran/__linux__/focal/latest" } - - { os: macOS-latest, r: '4.0', bioc: '3.12'} - - { os: windows-latest, r: '4.0', bioc: '3.12'} + - { os: ubuntu-latest, r: 'devel', bioc: '3.13', cont: "bioconductor/bioconductor_docker:devel", rspm: "https://packagemanager.rstudio.com/cran/__linux__/focal/latest" } + - { os: macOS-latest, r: 'devel', bioc: '3.13'} + - { os: windows-latest, r: 'devel', bioc: '3.13'} env: R_REMOTES_NO_ERRORS_FROM_WARNINGS: true RSPM: ${{ matrix.config.rspm }} @@ -101,16 +102,16 @@ jobs: uses: actions/cache@v2 with: path: ${{ env.R_LIBS_USER }} - key: ${{ env.cache-version }}-${{ runner.os }}-biocversion-RELEASE_3_12-r-4.0-${{ hashFiles('.github/depends.Rds') }} - restore-keys: ${{ env.cache-version }}-${{ runner.os }}-biocversion-RELEASE_3_12-r-4.0- + key: ${{ env.cache-version }}-${{ runner.os }}-biocversion-devel-r-devel-${{ hashFiles('.github/depends.Rds') }} + restore-keys: ${{ env.cache-version }}-${{ runner.os }}-biocversion-devel-r-devel- - name: Cache R packages on Linux if: "!contains(github.event.head_commit.message, '/nocache') && runner.os == 'Linux' " uses: actions/cache@v2 with: path: /home/runner/work/_temp/Library - key: ${{ env.cache-version }}-${{ runner.os }}-biocversion-RELEASE_3_12-r-4.0-${{ hashFiles('.github/depends.Rds') }} - restore-keys: ${{ env.cache-version }}-${{ runner.os }}-biocversion-RELEASE_3_12-r-4.0- + key: ${{ env.cache-version }}-${{ runner.os }}-biocversion-devel-r-devel-${{ hashFiles('.github/depends.Rds') }} + restore-keys: ${{ env.cache-version }}-${{ runner.os }}-biocversion-devel-r-devel- - name: Install Linux system dependencies if: runner.os == 'Linux' @@ -180,7 +181,7 @@ jobs: ## Pass #2 at installing dependencies message(paste('****', Sys.time(), 'pass number 2 at installing dependencies: any remaining dependencies ****')) remotes::install_local(dependencies = TRUE, repos = BiocManager::repositories(), build_vignettes = TRUE, upgrade = TRUE) - + ## For running the checks message(paste('****', Sys.time(), 'installing rcmdcheck and BiocCheck ****')) remotes::install_cran("rcmdcheck") @@ -203,7 +204,7 @@ jobs: - name: Install pkgdown if: github.ref == 'refs/heads/master' && env.run_pkgdown == 'true' && runner.os == 'Linux' run: | - remotes::install_cran("pkgdown") + remotes::install_github("r-lib/pkgdown") shell: Rscript {0} - name: Session info @@ -272,6 +273,15 @@ jobs: if: failure() uses: actions/upload-artifact@master with: - name: ${{ runner.os }}-biocversion-RELEASE_3_12-r-4.0-results + name: ${{ runner.os }}-biocversion-devel-r-devel-results path: check - \ No newline at end of file + + - uses: docker/build-push-action@v1 + if: "!contains(github.event.head_commit.message, '/nodocker') && env.run_docker == 'true' && runner.os == 'Linux' " + with: + username: ${{ secrets.DOCKER_USERNAME }} + password: ${{ secrets.DOCKER_PASSWORD }} + repository: stemangiola/tidybulk + tag_with_ref: true + tag_with_sha: true + tags: latest From 59e4401db0dde9977d757d2959e19de079f3fbb3 Mon Sep 17 00:00:00 2001 From: Maria Doyle Date: Mon, 12 Apr 2021 18:23:03 +0100 Subject: [PATCH 10/24] Install Seurat from souror MAc --- .github/workflows/check-bioc.yml | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/.github/workflows/check-bioc.yml b/.github/workflows/check-bioc.yml index 61e696b2..33eae531 100644 --- a/.github/workflows/check-bioc.yml +++ b/.github/workflows/check-bioc.yml @@ -140,6 +140,10 @@ jobs: ## To fix x11/cairo error with tidyHeatmap/Complexheatmap here https://github.com/stemangiola/tidybulk/runs/1388237421?check_suite_focus=true#step:14:2134 ## Suggested here https://stackoverflow.com/questions/63648591/how-to-install-x11-before-testing-with-github-actions-for-macos brew install --cask xquartz + + run: | + + shell: Rscript {0} - name: Install Windows system dependencies if: runner.os == 'Windows' @@ -157,6 +161,13 @@ jobs: run: | BiocManager::install(version = "${{ matrix.config.bioc }}", ask = FALSE) shell: Rscript {0} + + ## 12th April 2021 No Seurat binary available for Mac currently so install from source + - name: Install Seurat for macOS-latest + if: matrix.config.os == 'macOS-latest' + run: | + BiocManager::install("Seurat", type="source") + shell: Rscript {0} - name: Install dependencies pass 1 run: | From 62b4b61a17da9ac13c191a6ad9f6c1bf8dec6d17 Mon Sep 17 00:00:00 2001 From: Maria Doyle Date: Mon, 12 Apr 2021 20:34:59 +0100 Subject: [PATCH 11/24] Fix --- .github/workflows/check-bioc.yml | 4 ---- 1 file changed, 4 deletions(-) diff --git a/.github/workflows/check-bioc.yml b/.github/workflows/check-bioc.yml index 33eae531..bd8acbd4 100644 --- a/.github/workflows/check-bioc.yml +++ b/.github/workflows/check-bioc.yml @@ -140,10 +140,6 @@ jobs: ## To fix x11/cairo error with tidyHeatmap/Complexheatmap here https://github.com/stemangiola/tidybulk/runs/1388237421?check_suite_focus=true#step:14:2134 ## Suggested here https://stackoverflow.com/questions/63648591/how-to-install-x11-before-testing-with-github-actions-for-macos brew install --cask xquartz - - run: | - - shell: Rscript {0} - name: Install Windows system dependencies if: runner.os == 'Windows' From 6a41cde4a1c6862554395b22d2c8860a6e0c8ecb Mon Sep 17 00:00:00 2001 From: stemangiola Date: Tue, 13 Apr 2021 11:12:35 +1000 Subject: [PATCH 12/24] fix reduce dimensions for MDS and tSNE with scale argument from PCA --- R/functions_SE.R | 7 +++- man/get_reduced_dimensions_MDS_bulk_SE.Rd | 5 ++- man/get_reduced_dimensions_TSNE_bulk_SE.Rd | 3 ++ .../test-bulk_methods_SummarizedExperiment.R | 42 +++++++++++++++++++ 4 files changed, 55 insertions(+), 2 deletions(-) diff --git a/R/functions_SE.R b/R/functions_SE.R index 2311e546..93de563c 100755 --- a/R/functions_SE.R +++ b/R/functions_SE.R @@ -125,6 +125,7 @@ get_clusters_SNN_bulk_SE <- #' @param top An integer. How many top genes to select #' @param of_samples A boolean #' @param log_transform A boolean, whether the value should be log-transformed (e.g., TRUE for RNA sequencing data) +#' @param scale A boolean #' #' @return A tibble with additional columns #' @@ -134,7 +135,9 @@ get_reduced_dimensions_MDS_bulk_SE <- .dims = 2, top = 500, of_samples = TRUE, - log_transform = TRUE) { + log_transform = TRUE, + scale = NULL # This is only a dummy argument for making it compatible with PCA + ) { # Comply with CRAN NOTES . = NULL @@ -316,6 +319,7 @@ we suggest to partition the dataset for sample clusters. #' @param top An integer. How many top genes to select #' @param of_samples A boolean #' @param log_transform A boolean, whether the value should be log-transformed (e.g., TRUE for RNA sequencing data) +#' @param scale A boolean #' @param ... Further parameters passed to the function Rtsne #' #' @return A tibble with additional columns @@ -326,6 +330,7 @@ get_reduced_dimensions_TSNE_bulk_SE <- top = 500, of_samples = TRUE, log_transform = TRUE, + scale = NULL, # This is only a dummy argument for making it compatible with PCA ...) { # Comply with CRAN NOTES . = NULL diff --git a/man/get_reduced_dimensions_MDS_bulk_SE.Rd b/man/get_reduced_dimensions_MDS_bulk_SE.Rd index 027e4ce8..7b6ce8fd 100644 --- a/man/get_reduced_dimensions_MDS_bulk_SE.Rd +++ b/man/get_reduced_dimensions_MDS_bulk_SE.Rd @@ -9,7 +9,8 @@ get_reduced_dimensions_MDS_bulk_SE( .dims = 2, top = 500, of_samples = TRUE, - log_transform = TRUE + log_transform = TRUE, + scale = NULL ) } \arguments{ @@ -23,6 +24,8 @@ get_reduced_dimensions_MDS_bulk_SE( \item{log_transform}{A boolean, whether the value should be log-transformed (e.g., TRUE for RNA sequencing data)} +\item{scale}{A boolean} + \item{.abundance}{A column symbol with the value the clustering is based on (e.g., `count`)} \item{.feature}{A column symbol. The column that is represents entities to cluster (i.e., normally genes)} diff --git a/man/get_reduced_dimensions_TSNE_bulk_SE.Rd b/man/get_reduced_dimensions_TSNE_bulk_SE.Rd index 77cc88d7..4fe2727d 100644 --- a/man/get_reduced_dimensions_TSNE_bulk_SE.Rd +++ b/man/get_reduced_dimensions_TSNE_bulk_SE.Rd @@ -10,6 +10,7 @@ get_reduced_dimensions_TSNE_bulk_SE( top = 500, of_samples = TRUE, log_transform = TRUE, + scale = NULL, ... ) } @@ -24,6 +25,8 @@ get_reduced_dimensions_TSNE_bulk_SE( \item{log_transform}{A boolean, whether the value should be log-transformed (e.g., TRUE for RNA sequencing data)} +\item{scale}{A boolean} + \item{...}{Further parameters passed to the function Rtsne} \item{.abundance}{A column symbol with the value the clustering is based on (e.g., `count`)} diff --git a/tests/testthat/test-bulk_methods_SummarizedExperiment.R b/tests/testthat/test-bulk_methods_SummarizedExperiment.R index fedbfd00..8e3a6358 100755 --- a/tests/testthat/test-bulk_methods_SummarizedExperiment.R +++ b/tests/testthat/test-bulk_methods_SummarizedExperiment.R @@ -452,3 +452,45 @@ test_that("gene over representation",{ }) + + +test_that("Only reduced dimensions MDS - no object",{ + + + + + res = + tidybulk:::tidybulk_to_SummarizedExperiment(tidybulk(input_df, a, b, c)) %>% + reduce_dimensions( + method = "MDS", + .abundance = c, + .element = a, + .feature = b, + action="only" + ) + + expect_equal( + res$`Dim1`, + c(1.4048441, 1.3933490, -2.0138120 , 0.8832354, -1.6676164), + tolerance=10 + ) + + expect_equal( + ncol(res), + 3 + ) + + expect_equal( class(attr(res, "internals")$MDS[[1]])[1], "MDS" ) + + # Duplicate genes/samples + expect_error( + reduce_dimensions( + input_df %>% identify_abundant(a, b, c) %>% bind_rows( (.) %>% dplyr::slice(1) %>% mutate(c = c+1) ), + method = "MDS", + .abundance = c, + .element = a, + .feature = b, action="only" + ), + "Your dataset include duplicated " + ) +}) From 58fd7bdefa25434c71eb301140ce9c170f20a23c Mon Sep 17 00:00:00 2001 From: stemangiola Date: Tue, 13 Apr 2021 12:15:56 +1000 Subject: [PATCH 13/24] fix tests --- .../test-bulk_methods_SummarizedExperiment.R | 18 +++--------------- 1 file changed, 3 insertions(+), 15 deletions(-) diff --git a/tests/testthat/test-bulk_methods_SummarizedExperiment.R b/tests/testthat/test-bulk_methods_SummarizedExperiment.R index 8e3a6358..1c46b5ec 100755 --- a/tests/testthat/test-bulk_methods_SummarizedExperiment.R +++ b/tests/testthat/test-bulk_methods_SummarizedExperiment.R @@ -465,8 +465,7 @@ test_that("Only reduced dimensions MDS - no object",{ method = "MDS", .abundance = c, .element = a, - .feature = b, - action="only" + .feature = b ) expect_equal( @@ -476,21 +475,10 @@ test_that("Only reduced dimensions MDS - no object",{ ) expect_equal( - ncol(res), - 3 + ncol(colData(res)), + 5 ) expect_equal( class(attr(res, "internals")$MDS[[1]])[1], "MDS" ) - # Duplicate genes/samples - expect_error( - reduce_dimensions( - input_df %>% identify_abundant(a, b, c) %>% bind_rows( (.) %>% dplyr::slice(1) %>% mutate(c = c+1) ), - method = "MDS", - .abundance = c, - .element = a, - .feature = b, action="only" - ), - "Your dataset include duplicated " - ) }) From 70aa84adfb80c477f92ad7e021aa2bea9657736f Mon Sep 17 00:00:00 2001 From: stemangiola Date: Tue, 13 Apr 2021 12:49:55 +1000 Subject: [PATCH 14/24] add LazyDataCompression --- DESCRIPTION | 1 + 1 file changed, 1 insertion(+) diff --git a/DESCRIPTION b/DESCRIPTION index d32e9bc9..c356e99c 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -76,3 +76,4 @@ biocViews: AssayDomain, Infrastructure, RNASeq, DifferentialExpression, GeneExpr Encoding: UTF-8 LazyData: true RoxygenNote: 7.1.1 +LazyDataCompression: xz From f777e8a94ddbbe6d12df35726c5a99fd1ae7a3ad Mon Sep 17 00:00:00 2001 From: stemangiola Date: Tue, 13 Apr 2021 15:28:33 +1000 Subject: [PATCH 15/24] fix vignette issue --- R/data.R | 15 -- R/methods_SE.R | 29 ++- data/breast_tcga_mini.rda | Bin 759898 -> 0 bytes data/counts.rda | Bin 729524 -> 0 bytes data/counts_mini.rda | Bin 6936 -> 0 bytes doc/introduction.R | 14 +- doc/introduction.Rmd | 6 +- doc/introduction.html | 359 +++++++++++++-------------- man/breast_tcga_mini.Rd | 16 -- man/counts.Rd | 16 -- man/counts_mini.Rd | 16 -- vignettes/comparison_with_base_R.Rmd | 5 +- vignettes/introduction.Rmd | 4 +- 13 files changed, 214 insertions(+), 266 deletions(-) delete mode 100755 data/breast_tcga_mini.rda delete mode 100755 data/counts.rda delete mode 100755 data/counts_mini.rda delete mode 100644 man/breast_tcga_mini.Rd delete mode 100644 man/counts.Rd delete mode 100644 man/counts_mini.Rd diff --git a/R/data.R b/R/data.R index 11869ca6..aeb79e8d 100755 --- a/R/data.R +++ b/R/data.R @@ -1,13 +1,3 @@ -#' Example data set -#' -#' -"counts" - -#' Example data set reduced -#' -#' -"counts_mini" - #' Cibersort reference #' #' @@ -23,11 +13,6 @@ #' "ensembl_symbol_mapping" -#' Data set -#' -#' -"breast_tcga_mini" - #' flybaseIDs #' #' diff --git a/R/methods_SE.R b/R/methods_SE.R index 757c57b3..dfd6405f 100755 --- a/R/methods_SE.R +++ b/R/methods_SE.R @@ -1981,6 +1981,10 @@ setMethod("get_bibliography", .get_bibliography) #' describe_transcript +#' +#' @importFrom SummarizedExperiment rowData +#' @importFrom tibble enframe +#' #' @inheritParams describe_transcript #' #' @docType methods @@ -2016,13 +2020,21 @@ setMethod("get_bibliography", BiocManager::install("AnnotationDbi", ask = FALSE) } - description_df = - + .transcript = enquo(.transcript) + + # Transcript rownames by default + my_transcripts = + .transcript %>% + when( + quo_is_null(.) ~ rownames(.data), + ~ rowData(.data)[,quo_name(.transcript)] + ) + description_df = # Human tryCatch(suppressMessages(AnnotationDbi::mapIds( org.Hs.eg.db::org.Hs.eg.db, - keys = pull(.data, transcript) %>% unique %>% as.character, #ensembl_symbol_mapping$transcript %>% unique, + keys = my_transcripts, #ensembl_symbol_mapping$transcript %>% unique, column = "GENENAME", keytype = "SYMBOL", multiVals = "first" @@ -2033,7 +2045,7 @@ setMethod("get_bibliography", c( tryCatch(suppressMessages(AnnotationDbi::mapIds( org.Mm.eg.db::org.Mm.eg.db, - keys = pull(.data, transcript) %>% unique %>% as.character, #ensembl_symbol_mapping$transcript %>% unique, + keys = my_transcripts, #ensembl_symbol_mapping$transcript %>% unique, column = "GENENAME", keytype = "SYMBOL", multiVals = "first" @@ -2052,8 +2064,13 @@ setMethod("get_bibliography", slice(1) %>% ungroup() - .data %>% - left_join(description_df, by = "transcript") + rowData(.data) = rowData(.data) %>% cbind( + tibble(transcript = rownames(!!.data)) %>% + left_join(description_df) %>% + select(description) + ) + + .data } #' describe_transcript diff --git a/data/breast_tcga_mini.rda b/data/breast_tcga_mini.rda deleted file mode 100755 index 6fe6473d543643b220b61deac98f2b70e6648560..0000000000000000000000000000000000000000 GIT binary patch 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