To install this package, start R and enter:

## try http if https is not available
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: Release (3.1)

RUVcorr allows to apply global removal of unwanted variation (ridged version) 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")):

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("RUVcorr")

Documentation

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

browseVignettes("RUVcorr")

 

PDF R Script RUVcorr
PDF   Reference Manual
Text   NEWS

Details

biocViews GeneExpression, Normalization, Software
Version 1.0.0
In Bioconductor since BioC 3.1 (R-3.2) (< 6 months)
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  

Package Archives

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

Package Source RUVcorr_1.0.0.tar.gz
Windows Binary RUVcorr_1.0.0.zip
Mac OS X 10.6 (Snow Leopard) RUVcorr_1.0.0.tgz
Mac OS X 10.9 (Mavericks) RUVcorr_1.0.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/RUVcorr/tree/release-3.1
Package Short Url http://bioconductor.org/packages/RUVcorr/
Package Downloads Report Download Stats

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