Systematic order-dependent effect in expression values, variance, detection calls and differential expression in Affymetrix GeneChips®
Author(s) -
Kathe E. Bjork,
Karen Kafadar
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/btm450
Subject(s) - automatic summarization , gene expression profiling , cluster analysis , computer science , profiling (computer programming) , gene chip analysis , expression (computer science) , computational biology , gene expression , data mining , dna microarray , biology , bioinformatics , gene , genetics , artificial intelligence , programming language , operating system
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.
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