ARRmNormalization
This is the released version of ARRmNormalization; for the devel version, see ARRmNormalization.
Adaptive Robust Regression normalization for Illumina methylation data
Bioconductor version: Release (3.23)
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")):
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.
Installation
To install this package, start R (version "4.6") 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 | 1.52.0 |
| In Bioconductor since | BioC 2.12 (R-3.0) (13.5 years) |
| License | Artistic-2.0 |
| Depends | R (>= 2.15.1), ARRmData |
| Imports | |
| System Requirements | |
| URL |
See More
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| Enhances | |
| Depends On Me | |
| Imports 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_1.52.0.tar.gz |
| Windows Binary (x86_64) | ARRmNormalization_1.52.0.zip |
| macOS Binary (big-sur-x86_64) | ARRmNormalization_1.52.0.tgz |
| macOS Binary (sonoma-arm64) | ARRmNormalization_1.52.0.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 |