DOI: 10.18129/B9.bioc.variancePartition  

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

Quantify and interpret drivers of variation in multilevel gene expression experiments

Bioconductor version: Development (3.18)

Quantify and interpret multiple sources of biological and technical variation in gene expression experiments. Uses a linear mixed model to quantify variation in gene expression attributable to individual, tissue, time point, or technical variables. Includes dream differential expression analysis for repeated measures.

Author: Gabriel Hoffman [aut, cre]

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

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


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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biocViews BatchEffect, DifferentialExpression, Epigenetics, FunctionalGenomics, GeneExpression, GeneSetEnrichment, ImmunoOncology, Microarray, Normalization, Preprocessing, QualityControl, RNASeq, Regression, Software, Transcriptomics
Version 1.31.0
In Bioconductor since BioC 3.2 (R-3.2) (7.5 years)
License GPL-2
Depends R (>= 4.0.0), ggplot2, limma, BiocParallel
Imports MASS, pbkrtest (>= 0.4-4), lmerTest, Matrix (>= 1.4.0), iterators, foreach, doParallel, gplots, RhpcBLASctl, progress, reshape2, remaCor (>= 0.0.11), aod, scales, Rdpack, rlang, lme4 (>= 1.1-10), grDevices, graphics, Biobase, methods, utils, stats
Suggests BiocStyle, knitr, pander, rmarkdown, edgeR, dendextend, tximport, tximportData, ballgown, DESeq2, RUnit, statmod, BiocGenerics, r2glmm, readr
Depends On Me
Imports Me muscat, zenith
Suggests Me GRaNIE
Links To Me
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