ARRmNormalization
This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see ARRmNormalization.
Adaptive Robust Regression normalization for Illumina methylation data
Bioconductor version: 3.19
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("ARRmNormalization")):
Installation
To install this package, start R (version "4.4") 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.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ARRmNormalization")| ARRmNormalization | R Script | |
| Reference Manual |
Details
| biocViews | DNAMethylation, Microarray, Preprocessing, Software, TwoChannel |
| Version | 1.44.0 |
| In Bioconductor since | BioC 2.12 (R-3.0) (11.5 years) |
| License | Artistic-2.0 |
| Depends | R (>= 2.15.1), ARRmData |
| Imports | |
| System Requirements | |
| URL |
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| Depends On Me | |
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| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | ARRmNormalization_1.44.0.tar.gz |
| Windows Binary (x86_64) | ARRmNormalization_1.44.0.zip |
| macOS Binary (x86_64) | ARRmNormalization_1.44.0.tgz |
| macOS Binary (arm64) | ARRmNormalization_1.44.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/ARRmNormalization |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/ARRmNormalization |
| Bioc Package Browser | https://code.bioconductor.org/browse/ARRmNormalization/ |
| Package Short Url | https://bioconductor.org/packages/ARRmNormalization/ |
| Package Downloads Report | Download Stats |