ARRmNormalization
This is the development version of ARRmNormalization; for the stable release version, see ARRmNormalization.
Adaptive Robust Regression normalization for Illumina methylation data
Bioconductor version: Development (3.21)
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 "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
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 | 1.47.0 |
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_1.47.0.tar.gz |
Windows Binary (x86_64) | ARRmNormalization_1.47.0.zip |
macOS Binary (x86_64) | ARRmNormalization_1.47.0.tgz |
macOS Binary (arm64) | |
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 |