Package: M3Drop
Version: 1.30.0
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: RELEASE_3_19
git_last_commit: a0bf0c3
git_last_commit_date: 2024-04-30
Repository: Bioconductor 3.19
Date/Publication: 2024-05-01
NeedsCompilation: no
Packaged: 2024-05-01 23:48:15 UTC; biocbuild
Built: R 4.4.0; ; 2024-05-02 13:02:24 UTC; windows
