To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("ARRmNormalization")
In most cases, you don't need to download the package archive at all.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see ARRmNormalization.
Bioconductor version: 3.4
Perform the Adaptive Robust Regression method (ARRm) for the normalization of methylation data from the Illumina Infinium HumanMethylation 450k assay.
Author: Jean-Philippe Fortin, Celia M.T. Greenwood, Aurelie Labbe.
Maintainer: Jean-Philippe Fortin <jfortin at jhsph.edu>
Citation (from within R,
enter citation("ARRmNormalization")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("ARRmNormalization")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ARRmNormalization")
R Script | ARRmNormalization | |
Reference Manual |
biocViews | DNAMethylation, Microarray, Preprocessing, Software, TwoChannel |
Version | 1.14.0 |
In Bioconductor since | BioC 2.12 (R-3.0) (4 years) |
License | Artistic-2.0 |
Depends | R (>= 2.15.1), ARRmData |
Imports | |
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Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | ARRmNormalization_1.14.0.tar.gz |
Windows Binary | ARRmNormalization_1.14.0.zip |
Mac OS X 10.9 (Mavericks) | ARRmNormalization_1.14.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/ARRmNormalization/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/ARRmNormalization/ |
Package Downloads Report | Download Stats |
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