Bioconductor-mirror/zinbwave: Zero-Inflated Negative Binomial Model for RNA-Seq Data
Version 0.99.6

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 RNASeq Sequencing SingleCell Software Transcriptomics
Maintainer
LicenseArtistic-2.0
Version0.99.6
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/zinbwave")
Bioconductor-mirror/zinbwave documentation built on Aug. 2, 2017, 11:21 a.m.