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

DOI: 10.18129/B9.bioc.RUVcorr    

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

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

Bioconductor version: Development (3.6)

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")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
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 1.9.0
In Bioconductor since BioC 3.1 (R-3.2) (2.5 years)
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.

Source Package RUVcorr_1.9.0.tar.gz
Windows Binary RUVcorr_1.9.0.zip
Mac OS X 10.11 (El Capitan) RUVcorr_1.9.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/RUVcorr
Package Short Url http://bioconductor.org/packages/RUVcorr/
Package Downloads Report Download Stats

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