Literature DB >> 17897972

Systematic order-dependent effect in expression values, variance, detection calls and differential expression in Affymetrix GeneChips.

Kathe E Bjork1, Karen Kafadar.   

Abstract

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.

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Year:  2007        PMID: 17897972     DOI: 10.1093/bioinformatics/btm450

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  2 in total

1.  Genome-wide expression analysis in fibroblast cell lines from probands with Pallister Killian syndrome.

Authors:  Maninder Kaur; Kosuke Izumi; Alisha B Wilkens; Kathryn C Chatfield; Nancy B Spinner; Laura K Conlin; Zhe Zhang; Ian D Krantz
Journal:  PLoS One       Date:  2014-10-16       Impact factor: 3.240

2.  Correcting positional correlations in Affymetrix® genome chips.

Authors:  Dirar Homouz; Gang Chen; Andrzej S Kudlicki
Journal:  Sci Rep       Date:  2015-03-13       Impact factor: 4.379

  2 in total

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