Package: ARRmNormalization 1.52.0

Jean-Philippe Fortin

ARRmNormalization: Adaptive Robust Regression normalization for Illumina methylation data

Perform the Adaptive Robust Regression method (ARRm) for the normalization of methylation data from the Illumina Infinium HumanMethylation 450k assay.

Authors:Jean-Philippe Fortin, Celia M.T. Greenwood, Aurelie Labbe.

ARRmNormalization_1.52.0.tar.gz
ARRmNormalization_1.52.0.zip(r-4.7)ARRmNormalization_1.52.0.zip(r-4.6)ARRmNormalization_1.52.0.zip(r-4.5)
ARRmNormalization_1.52.0.tgz(r-4.6-any)ARRmNormalization_1.52.0.tgz(r-4.5-any)
ARRmNormalization_1.52.0.tar.gz(r-4.7-any)ARRmNormalization_1.52.0.tar.gz(r-4.6-any)
ARRmNormalization_1.52.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ARRmNormalization/json (API)

# Install 'ARRmNormalization' in R:
install.packages('ARRmNormalization', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • ProbesType - Probe Design information for the 450k methylation assay

On BioConductor:ARRmNormalization-1.53.0(bioc 3.24)ARRmNormalization-1.52.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

dnamethylationtwochannelpreprocessingmicroarray

3.30 score 1 scripts 464 downloads 1 mentions 7 exports 1 dependencies

Last updated from:34da0389a8 (on RELEASE_3_23). Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksERROR127
linux-devel-x86_64NOTE260
source / vignettesOK172
linux-release-x86_64NOTE193
macos-release-arm64NOTE145
macos-oldrel-arm64NOTE104
windows-develNOTE130
windows-releaseNOTE127
windows-oldrelNOTE116
wasm-releaseOK89

Exports:getBackgroundgetCoefficientsgetDesignInfogetQuantilesnormalizeARRmpositionPlotsquantilePlots

Dependencies:ARRmData

ARRmNormalization

Rendered fromARRmNormalization.Rnwusingutils::Sweaveon May 29 2026.

Last update: 2013-03-18
Started: 2013-03-18