title: Exon arrays provide accurate assessments of gene expression.
abstract: We have developed a strategy for estimating gene expression on Affymetrix Exon arrays. The method includes a probe-specific background correction and a probe selection strategy in which a subset of probes with highly correlated intensities across multiple samples are chosen to summarize gene expression. Our results demonstrate that the proposed background model offers improvements over the default Affymetrix background correction and that Exon arrays may provide more accurate measurements of gene expression than traditional 3' arrays.
authors.affiliation: Department of Statistics, Stanford University, Stanford, California 94305, USA. kapur@stanford.edu
authors.forename: Karen
authors.initials: K
authors.lastname: Kapur
authors.forename: Yi
authors.initials: Y
authors.lastname: Xing
authors.forename: Zhengqing
authors.initials: Z
authors.lastname: Ouyang
authors.forename: Wing Hung
authors.initials: WH
authors.lastname: Wong
mesh_terms: D015342:DNA Probes; D005091:Exons / Q000235:genetics*; D020869:Gene Expression Profiling / Q000379:methods / Q000592:standards*; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis / Q000592:standards*
chemical_list: D015342:DNA Probes