ARRmNormalization (version 1.12.0)

Adaptive Robust Regression normalization for Illumina methylation data

Description

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

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Version

1.12.0

License

Artistic-2.0

Maintainer

JeanPhilippe Fortin

Last Published

February 15th, 2017

Functions in ARRmNormalization (1.12.0)

ARRmNormalization-internal

Internal ARRmNormalization Functions

positionPlots

Plots to evalue chip position effects on different percentiles

getBackground

Estimate background intensity from the negative control probes

getDesignInfo

Build the chip and position indices

ProbesType

Probe Design information for the 450k methylation assay

getQuantiles

Return the percentiles of a betaMatrix for each probe type

quantilePlots

Diagnostic plots for evaluation of background effects and dye bias effects on different percentiles

normalizeARRm

Perform ARRm normalization

getCoefficients

Return the coefficients from the ARRm linear model

ARRmNormalization-package

ARRm normalization for Illumina methylation data