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variancePartition

Quantify and interpret drivers of variation in multilevel gene expression experiments

Bioconductor version: 3.23 · Package version: 1.42.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("variancePartition")

Details

MaintainerGabriel E. Hoffman <gabriel.hoffman@mssm.edu>
AuthorGabriel Hoffman [aut, cre] (ORCID: <https://orcid.org/0000-0002-0957-0224>)
LicenseGPL-2
URLhttp://bioconductor.org/packages/variancePartition, https://DiseaseNeuroGenomics.github.io/variancePartition
Bug Reportshttps://github.com/DiseaseNeuroGenomics/variancePartition/issues
Downloads rank2237
Source branchRELEASE_3_23
biocViewsBatchEffect, DifferentialExpression, Epigenetics, FunctionalGenomics, GeneExpression, GeneSetEnrichment, ImmunoOncology, Microarray, Normalization, Preprocessing, QualityControl, RNASeq, Regression, Software, Transcriptomics

Documentation

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Dependencies

Depends: R (>= 4.3.0), ggplot2, limma (>= 3.62.2), BiocParallel

Imports: MASS, pbkrtest (>= 0.4-4), lmerTest, Matrix (>= 1.4.0), iterators, gplots, corpcor, reformulas, matrixStats, RhpcBLASctl, reformulas, reshape2, gtools, remaCor (>= 0.0.15), fANCOVA, aod, scales, Rdpack, rlang, lme4 (>= 2.0-1), grDevices, graphics, Biobase, methods, utils, stats

Suggests: BiocStyle, knitr, pander, rmarkdown, edgeR, dendextend, tximport, tximportData, ballgown, DESeq2, RUnit, cowplot, Rfast, zenith, statmod, BiocGenerics, r2glmm, readr

Reverse dependencies

Depends On Me (1): dreamlet

Imports Me (4): crumblr, LimROTS, muscat, zenith

Suggests Me (1): GRaNIE