Implementation of a gamma deconvolution for background correction.
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.
|Package: rGammaGamma Type: Package Version: 1.0.11 Date: 2012-12-04 License: Artistic LazyLoad: yes|
Tim Triche, Jr.<firstname.lastname@example.org>
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## not run ## foo <- methylumIDAT(barcodes, parallel=T) ## foo.bg <- methylumi.bgcorr(foo, method='goob')
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