Bioconductor version: Release (3.15)
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 (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("ARRmNormalization")
For older versions of R, please refer to the appropriate Bioconductor release.
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 | 1.36.0 |
In Bioconductor since | BioC 2.12 (R-3.0) (9.5 years) |
License | Artistic-2.0 |
Depends | R (>= 2.15.1), ARRmData |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | ARRmNormalization_1.36.0.tar.gz |
Windows Binary | ARRmNormalization_1.36.0.zip |
macOS Binary (x86_64) | ARRmNormalization_1.36.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/ARRmNormalization |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/ARRmNormalization |
Package Short Url | https://bioconductor.org/packages/ARRmNormalization/ |
Package Downloads Report | Download Stats |
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