Correction of technical bias in clinical microarray data improves concordance with known biological information

Publication: Research - peer-reviewJournal article – Annual report year: 2008

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The performance of gene expression microarrays has been well characterized using controlled reference samples, but the performance on clinical samples remains less clear. We identified sources of technical bias affecting many genes in concert, thus causing spurious correlations in clinical data sets and false associations between genes and clinical variables. We developed a method to correct for technical bias in clinical microarray data, which increased concordance with known biological relationships in multiple data sets.
Original languageEnglish
JournalGenome Biology
Publication date2008
Volume9
Journal number2
PagesR26
ISSN1465-6906
DOIs
StatePublished
CitationsWeb of Science® Times Cited: 17
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