Package: M3Drop
Version: 1.37.0
Date: 2024-03-25
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, scater
Suggests: ROCR, knitr, M3DExampleData, 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 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. Also includes an method for calculating exact Pearson residuals in UMI-tagged data using a library-size aware negative binomial model.
URL: https://github.com/tallulandrews/M3Drop
BugReports: https://github.com/tallulandrews/M3Drop/issues
License: GPL (>=2)
git_url: https://git.bioconductor.org/packages/M3Drop
git_branch: devel
git_last_commit: 85bdb7c
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.23
