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

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.

Introduction to M3Drop

Vignettes Man pages API and functions Files

Package details
Author	Tallulah Andrews <tallulandrews@gmail.com>
Bioconductor views	DifferentialExpression DimensionReduction FeatureExtraction GeneExpression RNASeq Sequencing Software Transcriptomics
Maintainer	Tallulah Andrews <tallulandrews@gmail.com>
License	GPL (>=2)
Version	1.16.0
URL	https://github.com/tallulandrews/M3Drop
Package repository	View on Bioconductor
Installation	Install the latest version of this package by entering the following in R: `if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("M3Drop")`