variancePartition: Quantify and interpret divers of variation in multilevel gene expression experiments

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.

Package details

AuthorGabriel E. Hoffman
Bioconductor views BatchEffect DifferentialExpression Epigenetics FunctionalGenomics GeneExpression GeneSetEnrichment ImmunoOncology Microarray Normalization Preprocessing QualityControl RNASeq Regression Software Transcriptomics
MaintainerGabriel E. Hoffman <>
LicenseGPL (>= 2)
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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variancePartition documentation built on Nov. 8, 2020, 5:18 p.m.