An adaptive method for cDNA microarray normalization.

ABSTRACT:

Background

Normalization is a critical step in analysis of gene expression profiles. For dual-labeled arrays, global normalization assumes that the majority of the genes on the array are non-differentially expressed between the two channels and that the number of over-expressed genes approximately equals the number of under-expressed genes. These assumptions can be inappropriate for custom arrays or arrays in which the reference RNA is very different from the experimental samples.

Results

We propose a mixture model based normalization method that adaptively identifies non-differentially expressed genes and thereby substantially improves normalization for dual-labeled arrays in settings where the assumptions of global normalization are problematic. The new method is evaluated

SUBMITTER: Zhao Y 

PROVIDER: S-EPMC552315 | biostudies-literature | 2005 Feb

REPOSITORIES: biostudies-literature