bmiq.mc {ENmix} | R Documentation

## A multi-processor wrapper of BMIQ method

### Description

A multi-processor wrapper of BMIQ method. BMIQ is an intra-sample normalization procedure to correct the bias of Infinium 2 probe methylation beta values.

### Usage

    bmiq.mc(mdat, nCores = 1,...)

### Arguments

`mdat` | An object of class `MethylSet`.
`nCores` | Number of cores used for computation.
`...` | See BMIQ in R package wateRmelon for more options.

### Value

A data matrix of Methylation beta value.

### Author(s)

Zongli Xu

### References

Teschendorff AE et. al. A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data. Bioinformatics. 2013

### See Also

See `BMIQ` in R package `watermelon` for model details

### Examples

    if(FALSE){
    if (require(minfiData)) {
    mdat=preprocessENmix(RGsetEx,bgParaEst="oob",nCores=6)
    mdatq1=norm.quantile(mdat,method="quantile1")
    beta=bmiq.mc(mdatq1,nCores=10)
    }}

[Package ENmix version 1.21.6 Index]