RefPlus: an R package extending the RMA Algorithm
Author(s) -
Chris Harbron,
KaiMing Chang,
Marie C. South
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm357
Subject(s) - bioconductor , computer science , r package , set (abstract data type) , extrapolation , documentation , software , dglap , data mining , process (computing) , dna microarray , algorithm , data set , software package , programming language , mathematics , artificial intelligence , biology , statistics , gene expression , biochemistry , physics , particle physics , hadron , gene , parton
RMA has become a widely used methodology to pre-process Affymetrix gene expression microarrays. A limitation of RMA is that the calculated probeset intensities change when a set of microarrays is re-pre-processed after the inclusion of additional microarrays into the analysis set. Here we report the availability of the RefPlus package containing functions to perform the Extrapolation Strategy and Extrapolation Averaging algorithms which address these issues.
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