articleJournal of the American Statistical AssociationNov 17, 2004Closed access

A Model-Based Background Adjustment for Oligonucleotide Expression Arrays

Johns Hopkins University · Johns Hopkins Medicine · +1 more institution

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Abstract

High-density oligonucleotide expression arrays are widely used in many areas of biomedical research. Affymetrix GeneChip arrays are the most popular. In the Affymetrix system, a fair amount of further preprocessing and data reduction occurs after the image-processing step. Statistical procedures developed by academic groups have been successful in improving the default algorithms provided by the Affymetrix system. In this article we present a solution to one of the preprocessing steps—background adjustment—based on a formal statistical framework. Our solution greatly improves the performance of the technology in various practical applications. These arrays use short oligonucleotides to probe for genes in an…

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