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## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("variancePartition")

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variancePartition

DOI: 10.18129/B9.bioc.variancePartition    

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

Quantify and interpret divers of variation in multilevel gene expression experiments

Bioconductor version: Development (3.7)

Quantify and interpret multiple sources of biological and technical variation in gene expression experiments. Uses linear mixed model to quantify variation in gene expression attributable to individual, tissue, time point, or technical variables.

Author: Gabriel E. Hoffman

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

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("variancePartition")

Documentation

PDF   Reference Manual
Text   NEWS

Details

biocViews GeneExpression, RNASeq, Regression, Software
Version 1.9.1
In Bioconductor since BioC 3.2 (R-3.2) (2 years)
License GPL (>= 2)
Depends ggplot2, foreach, Biobase, methods
Imports MASS, pbkrtest (>= 0.4-4), iterators, splines, colorRamps, gplots, reshape2, lme4 (>= 1.1-10), doParallel, limma, grDevices, graphics, utils, stats
LinkingTo
Suggests edgeR, dendextend, tximport, tximportData, ballgown, DESeq2, readr, knitr, BiocStyle
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package variancePartition_1.9.1.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan) variancePartition_1.9.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/variancePartition
Package Short Url http://bioconductor.org/packages/variancePartition/
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