M3Drop: Michaelis-Menten Modelling of Dropouts in single-cell RNASeq
Version 1.4.0

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.

Package details

AuthorTallulah Andrews <[email protected]>
Bioconductor views DifferentialExpression DimensionReduction FeatureExtraction GeneExpression RNASeq Sequencing Software Transcriptomics
MaintainerTallulah Andrews <[email protected]>
LicenseGPL (>=2)
Version1.4.0
URL https://github.com/tallulandrews/M3Drop
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("M3Drop")

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M3Drop documentation built on Nov. 17, 2017, 10:55 a.m.