Bioconductor-mirror/M3Drop: Michaelis-Menten Modelling of Dropouts in single-cell RNASeq
Version 1.1.0

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.

Getting started

Package details

AuthorTallulah Andrews <[email protected]>
Bioconductor views DifferentialExpression DimensionReduction FeatureExtraction GeneExpression RNASeq Sequencing Software Transcriptomics
MaintainerTallulah Andrews <[email protected]>
LicenseGPL (>=2)
Version1.1.0
URL https://github.com/tallulandrews/M3Drop
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Bioconductor-mirror/M3Drop")
Bioconductor-mirror/M3Drop documentation built on May 29, 2017, 7:28 a.m.