DOI: 10.18129/B9.bioc.variancePartition    

This is the development version of variancePartition; for the stable release version, see variancePartition.

Quantify and interpret divers of variation in multilevel gene expression experiments

Bioconductor version: Development (3.7)

Quantify and interpret multiple sources of biological and technical variation in gene expression experiments. Uses linear mixed model to quantify variation in gene expression attributable to individual, tissue, time point, or technical variables.

Author: Gabriel E. Hoffman

Maintainer: Gabriel E. Hoffman <gabriel.hoffman at>

Citation (from within R, enter citation("variancePartition")):


To install this package, start R and enter:

## try http:// if https:// URLs are not supported


To view documentation for the version of this package installed in your system, start R and enter:



PDF R Script 1) Tutorial on using variancePartition
PDF R Script 2) Additional visualizations
PDF   Reference Manual
Text   NEWS


biocViews GeneExpression, RNASeq, Regression, Software
Version 1.9.7
In Bioconductor since BioC 3.2 (R-3.2) (2.5 years)
License GPL (>= 2)
Depends ggplot2, foreach, Biobase, methods
Imports MASS, pbkrtest (>= 0.4-4), iterators, splines, colorRamps, gplots, reshape2, lme4 (>= 1.1-10), doParallel, limma, grDevices, graphics, utils, stats
Suggests BiocStyle, knitr, rmarkdown, edgeR, dendextend, tximport, tximportData, ballgown, DESeq2, readr
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package variancePartition_1.9.7.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan) variancePartition_1.9.7.tgz
Source Repository git clone
Package Short Url
Package Downloads Report Download Stats

Documentation »


R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: