DESCRIPTION

Package: M3Drop
Version: 3.10.6
Date: 2023-02-16
Title: Michaelis-Menten Modelling of Dropouts in single-cell RNASeq
Author: Tallulah Andrews <tallulandrews@gmail.com>
Maintainer: Tallulah Andrews <tallulandrews@gmail.com>
Depends: R (>= 3.4), numDeriv
Imports: RColorBrewer, gplots, bbmle, statmod, grDevices, graphics, stats, matrixStats, Matrix, irlba, reldist, Hmisc, methods
Suggests: ROCR, knitr, M3DExampleData, scater, SingleCellExperiment, Seurat, Biobase
VignetteBuilder: knitr
biocViews: RNASeq, Sequencing, Transcriptomics, GeneExpression, Software, DifferentialExpression, DimensionReduction, FeatureExtraction
Collate: basics.R Plotting_fxns.R Curve_fitting.R Extremes.R Normalization.R Brennecke_implementation.R Threeway_ProportionalArea_VennDiagrams.R Simulations_Functions.R Traditional_DE.R NB_UMI.R M3D_Imputation.R Other_FS_functions.R DANB_HVG.R DANB_Coexpression.R
Description: This package fits a Michaelis-Menten model to the pattern of dropouts in single-cell RNASeq data. This model is used as a null to identify significantly variable (i.e. differentially expressed) genes for use in downstream analysis, such as clustering cells. 
URL: https://github.com/tallulandrews/M3Drop
BugReports: https://github.com/tallulandrews/M3Drop/issues
License: GPL (>=2)