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
| Maintainer | Gabriel E. Hoffman <gabriel.hoffman@mssm.edu> |
| Author | Gabriel Hoffman [aut, cre] (ORCID: <https://orcid.org/0000-0002-0957-0224>) |
| License | GPL-2 |
| URL | http://bioconductor.org/packages/variancePartition, https://DiseaseNeuroGenomics.github.io/variancePartition |
| Bug Reports | https://github.com/DiseaseNeuroGenomics/variancePartition/issues |
| Downloads rank | 2237 |
| Source branch | RELEASE_3_23 |
| biocViews | BatchEffect, DifferentialExpression, Epigenetics, FunctionalGenomics, GeneExpression, GeneSetEnrichment, ImmunoOncology, Microarray, Normalization, Preprocessing, QualityControl, RNASeq, Regression, Software, Transcriptomics |
Documentation
- Variance partitioning analysis
- Additional visualizations of variance structure
- Theory and practice of random effects
- dream analysis
- Error handling
- Frequently asked questions
- Multivariate tests
Download
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