To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

RUVcorr

Removal of unwanted variation for gene-gene correlations and related analysis

Bioconductor version: 3.2

RUVcorr allows to apply global removal of unwanted variation (ridged version of RUV) to real and simulated gene expression data.

Author: Saskia Freytag

Maintainer: Saskia Freytag <freytag.s at wehi.edu.au>

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

To install this package, start R and enter:

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

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("RUVcorr")

biocViews	GeneExpression, Normalization, Software
Version	1.2.0
In Bioconductor since	BioC 3.1 (R-3.2) (1 year)
License	GPL-2
Depends
Imports	corrplot, MASS, stats, lattice, grDevices, gridExtra, snowfall, psych, BiocParallel, grid, bladderbatch, reshape2
LinkingTo
Suggests	knitr, BiocStyle, hgu133a2.db
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	RUVcorr_1.2.0.tar.gz
Windows Binary	RUVcorr_1.2.0.zip
Mac OS X 10.6 (Snow Leopard)	RUVcorr_1.2.0.tgz
Mac OS X 10.9 (Mavericks)	RUVcorr_1.2.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/RUVcorr/tree/release-3.2
Package Short Url	http://bioconductor.org/packages/RUVcorr/
Package Downloads Report	Download Stats

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