A new non-linear normalization method for reducing variability in DNA microarray experiments |
| |
Authors: | Workman Christopher Jensen Lars Juhl Jarmer Hanne Berka Randy Gautier Laurent Nielser Henrik Bjørn Saxild Hans-Henrik Nielsen Claus Brunak Søren Knudsen Steen |
| |
Institution: | Christopher Workman, Lars Juhl Jensen, Hanne Jarmer, Randy Berka, Laurent Gautier, Henrik Bjørn Nielser, Hans-Henrik Saxild, Claus Nielsen, Søren Brunak, and Steen Knudsen |
| |
Abstract: | Background 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 Cy5 and Cy3 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. |
| |
Keywords: | |
本文献已被 PubMed SpringerLink 等数据库收录! |
|