methylationCall: Estimated methylation call

In lumi: BeadArray Specific Methods for Illumina Methylation and Expression Microarrays

Description

Estimated methylation call based on the fitting results of gammaFitEM

Usage

methylationCall(x, threshold = 0.95, ...)

Arguments

x	a vector of M-values covering the whole genome or a "gammaFit" class object returned by gammaFitEM
threshold	the probability threshold to make a methylation call. The threshold can be a vector of two: unmethylation threshold and methylation threshold
...	other parameters used by gammaFitEM

Details

Retrieve the probability element returned by gammaFitEM, and convert it as three status calls based on probability threshold

NOTE: the methylation status modeling algorithm was developed based on 27K methylation array. It has not been tested for 450K array. Considering 450K array covers both promoter and gene body, the two component Gamma mixture model assumption may not be valid any more.

Value

A vector of three methylation status: "Unmethy" (unmethylation posterior probability > unmethylation threshold), "Methy" (methylation posterior probability > methylation threshold), or "Margin". The sum of unmethylation posterior probability and methylation posterior probability equals one. The methylation probability is returned as an attribute of "probability".

Author(s)

Pan DU

See Also

gammaFitEM

Examples

data(example.lumiMethy)
M <- exprs(example.lumiMethy)
fittedGamma <- gammaFitEM(M[,1], initialFit=NULL, maxIteration=50, tol=0.0001, plotMode=TRUE, verbose=FALSE)
methyCall <- methylationCall(fittedGamma)
table(methyCall)

lumi documentation built on Nov. 8, 2020, 5:27 p.m.