ARRmNormalization
Adaptive Robust Regression normalization for Illumina methylation data
Bioconductor version: 3.24 · Package version: 1.53.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
Perform the Adaptive Robust Regression method (ARRm) for the normalization of methylation data from the Illumina Infinium HumanMethylation 450k assay.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("ARRmNormalization") Details
| Maintainer | Jean-Philippe Fortin <jfortin@jhsph.edu> |
| Author | Jean-Philippe Fortin, Celia M.T. Greenwood, Aurelie Labbe. |
| License | Artistic-2.0 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | DNAMethylation, Microarray, Preprocessing, Software, TwoChannel |
| Package Short Url | https://bioconductor.org/packages/ARRmNormalization/ |
Citation
From within R, enter citation("ARRmNormalization"):
Jean-Philippe Fortin, Celia M.T. Greenwood, Aurelie Labbe. ARRmNormalization: Adaptive Robust Regression normalization for Illumina methylation data. doi:10.18129/B9.bioc.ARRmNormalization, R package version 1.53.0, https://bioconductor.org/packages/ARRmNormalization.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | ARRmNormalization_1.53.0.tar.gz |
| Windows binary (x86_64) | ARRmNormalization_1.53.0.zip |
| macOS binary (arm64) | ARRmNormalization_1.53.0.tgz |
| macOS binary (x86_64) | ARRmNormalization_1.53.0.tgz |
Dependencies
Depends: R (>= 2.15.1), ARRmData