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Systematic order-dependent effect in expression values, variance, detection calls and differential expression in Affymetrix GeneChips
Motivation: Affymetrix GeneChips® are common 3′ profiling platforms for quantifying gene expression. Using publicly available datasets of expression profiles from human and mouse experiments, we sought to characterize features of GeneChip® data to better compare and evaluate analyses for differentia...
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Published in: | Bioinformatics 2007-11, Vol.23 (21), p.2873-2880 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Request full text |
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Summary: | Motivation: Affymetrix GeneChips® are common 3′ profiling platforms for quantifying gene expression. Using publicly available datasets of expression profiles from human and mouse experiments, we sought to characterize features of GeneChip® data to better compare and evaluate analyses for differential expression, regulation and clustering. We uncovered an unexpected order dependence in expression data that holds across a variety of chips in both human and mouse data. Results: Order dependence among GeneChips® affected relative expression measures pre-processed and normalized with the Affymetrix MAS5.0 algorithm and the robust multi-array average summarization method. The effect strongly influenced detection calls and tests for differential expression and can potentially significantly bias experimental results based on GeneChip® profiling. Contact: Kathe.bjork@cudenver.edu Supplementary information: Supplementary Material, including links to files of ordered transcripts and supporting analyses, is available at the authors' websites, at http://www-math.cudenver.edu/~kbjork/research/, and http://www-math.cudenver.edu/~kk/research/. |
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ISSN: | 1367-4803 1460-2059 1367-4811 |
DOI: | 10.1093/bioinformatics/btm450 |