A new non-linear normalization method for reducing variability in DNA microarray experiments

Christopher Workman, Lars Juhl Jensen, Hanne Østergaard Jarmer, Randy Berka, Laurent Gautier, Henrik Bjørn Nielser, Hans Henrik Saxild, Claus Nielsen, Søren Brunak, Steen Knudsen

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443 Citations (Scopus)

Abstract

Microarray data are subject to multiple sources of variation, of which biological sources are of interest whereas most others are only confounding. Recent work has identified systematic sources of variation that are intensity-dependent and non-linear in nature. Systematic sources of variation are not limited to the differing properties of the cyanine dyes Cy(5) and Cy(3) as observed in cDNA arrays, but are the general case for both oligonucleotide microarray (Affymetrix GeneChips) and cDNA microarray data. Current normalization techniques are most often linear and therefore not capable of fully correcting for these effects.
Original languageEnglish
JournalGenome Biology (Online Edition)
Volume3
Issue number9
Pages (from-to)research0048
ISSN1474-7596
Publication statusPublished - 2002
Externally publishedYes

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