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

Research output: Contribution to journalJournal articleResearchpeer-review

  • Christopher Workman
  • Jensen, Lars Juhl
  • Hanne Østergaard Jarmer
  • Randy Berka
  • Laurent Gautier
  • Henrik Bjørn Nielser
  • Hans Henrik Saxild
  • Claus Nielsen
  • Søren Brunak
  • Steen Knudsen
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)
Issue number9
Pages (from-to)research0048
Publication statusPublished - 2002
Externally publishedYes

ID: 40740837