drisso/zinbwave: Zero-Inflated Negative Binomial Model for RNA-Seq Data

Implements a general and flexible zero-inflated negative binomial model that can be used to provide a low-dimensional representations of single-cell RNA-seq data. The model accounts for zero inflation (dropouts), over-dispersion, and the count nature of the data. The model also accounts for the difference in library sizes and optionally for batch effects and/or other covariates, avoiding the need for pre-normalize the data.

Getting started

Package details

Bioconductor views DimensionReduction GeneExpression ImmunoOncology RNASeq Sequencing SingleCell Software Transcriptomics
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
drisso/zinbwave documentation built on May 30, 2021, 6:16 p.m.