Bioconductor version: Release (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")
):
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")
R Script | RUVcorr | |
Reference Manual | ||
Text | NEWS |
biocViews | GeneExpression, Normalization, Software |
Version | 1.10.0 |
In Bioconductor since | BioC 3.1 (R-3.2) (3 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 |
Follow Installation instructions to use this package in your R session.
Source Package | RUVcorr_1.10.0.tar.gz |
Windows Binary | RUVcorr_1.10.0.zip |
Mac OS X 10.11 (El Capitan) | RUVcorr_1.10.0.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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