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 (3.21)
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] (ORCID:
Maintainer: Gabriel E. Hoffman <gabriel.hoffman at mssm.edu>
citation("variancePartition")
):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("variancePartition")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
Reference Manual |
Details
biocViews | BatchEffect, DifferentialExpression, Epigenetics, FunctionalGenomics, GeneExpression, GeneSetEnrichment, ImmunoOncology, Microarray, Normalization, Preprocessing, QualityControl, RNASeq, Regression, Software, Transcriptomics |
Version | 1.37.0 |
In Bioconductor since | BioC 3.2 (R-3.2) (9 years) |
License | GPL-2 |
Depends | R (>= 4.3.0), ggplot2, limma, BiocParallel |
Imports | MASS, pbkrtest (>= 0.4-4), lmerTest, Matrix (>= 1.4.0), iterators, gplots, corpcor, matrixStats, RhpcBLASctl, reshape2, remaCor (>= 0.0.15), fANCOVA, aod, scales, Rdpack, rlang, lme4 (>= 1.1.33), grDevices, graphics, Biobase, methods, utils, stats |
System Requirements | |
URL | http://bioconductor.org/packages/variancePartition https://DiseaseNeuroGenomics.github.io/variancePartition |
Bug Reports | https://github.com/DiseaseNeuroGenomics/variancePartition/issues |
See More
Suggests | BiocStyle, knitr, pander, rmarkdown, edgeR, dendextend, tximport, tximportData, ballgown, DESeq2, RUnit, cowplot, Rfast, zenith, statmod, BiocGenerics, r2glmm, readr |
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Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | |
Windows Binary (x86_64) | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/variancePartition |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/variancePartition |
Package Short Url | https://bioconductor.org/packages/variancePartition/ |
Package Downloads Report | Download Stats |