Package 'oligo' - Bioconductor

10 fitProbeLevelModelfitProbeLevelModelTool to fit Probe Level Models.DescriptionUsageFits robust Probe Level linear Models to all the (meta)probesets in an FeatureSet. This is carriedout on a (meta)probeset by (meta)probeset basis.fitProbeLevelModel(object, background=TRUE, normalize=TRUE, target="core", method="plm", verbose=TRUEArgumentsobjectbackgroundnormalizetargetmethodverboseS4ValueNoteFeatureSet object.Do background correction?Do normalization?character vector describing the summarization target. Valid values are: ’probeset’,’core’ (Gene/Exon), ’full’ (Exon), ’extended’ (Exon).summarization method to be used.verbosity flag.return final value as an S4 object (oligoPLM) if TRUE. If FALSE, final value isreturned as a list.... subset to be passed down to getProbeInfo for subsetting. See subset for details.fitProbeLevelModel returns an oligoPLM object, if S4=TRUE; otherwise, it will return a list.This is the initial port of fitPLM to oligo. Some features found on the original work by Ben Bolstad(in the affyPLM package) may not be yet available. If you found one of this missing characteristics,please contact Benilton Carvalho.Author(s)This is a simplified port from Ben Bolstad’s work implemented in the affyPLM package. Problemswith the implementation in oligo should be reported to Benilton Carvalho.ReferencesBolstad, BM (2004) Low Level Analysis of High-density Oligonucleotide Array Data: Background,Normalization and Summarization. PhD Dissertation. University of California, Berkeley.