Package: M3Drop
Version: 1.2.0
Date: 2016-07-15
Title: Michaelis-Menten Modelling of Dropouts in single-cell RNASeq
Author: Tallulah Andrews <tallulandrews@gmail.com>
Maintainer: Tallulah Andrews <tallulandrews@gmail.com>
Depends: R (>= 3.3), numDeriv
Imports: RColorBrewer, gplots, bbmle, statmod, grDevices, graphics,
        stats
Suggests: ROCR, knitr, M3DExampleData
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
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)
NeedsCompilation: no
Packaged: 2017-04-25 01:42:35 UTC; biocbuild
Built: R 3.4.0; ; 2017-04-25 05:12:44 UTC; windows
