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

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 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.

Results

We present here a simple and robust non-linear method for normalization using array signal distribution analysis and cubic splines. Th

SUBMITTER: Workman C 

PROVIDER: S-EPMC126873 | biostudies-literature | 2002 Aug

REPOSITORIES: biostudies-literature