Implementation of a gamma deconvolution for background correction.

Description

SNP and methylation microarrays exhibit a different distribution of signal and background intensities than expression microarrays. The flexibility of the gamma distribution suits the observed signal and background intensity distributions well, encompassing as a special case the normal-exponential convolution (the de facto standard for expression background correction). In addition, a signal/noise mixture model is implemented for empirical deconvolution of cross-hybridization between probe alleles.

Details

Author(s)

Tim Triche, Jr.<ttriche@usc.edu>

Examples

## not run

##  foo <- methylumIDAT(barcodes, parallel=T)
##  foo.bg <- methylumi.bgcorr(foo, method='goob')

Results