A weighted average difference method for detecting differentially expressed genes from microarray data.

ABSTRACT:

Background

Identification of differentially expressed genes (DEGs) under different experimental conditions is an important task in many microarray studies. However, choosing which method to use for a particular application is problematic because its performance depends on the evaluation metric, the dataset, and so on. In addition, when using the Affymetrix GeneChip(R) system, researchers must select a preprocessing algorithm from a number of competing algorithms such as MAS, RMA, and DFW, for obtaining expression-level measurements. To achieve optimal performance for detecting DEGs, a suitable combination of gene selection method and preprocessing algorithm needs to be selected for a given probe-level dataset.

Results

We introduce a new fold-change (FC)-based method, the wei

SUBMITTER: Kadota K 

PROVIDER: S-EPMC2464587 | biostudies-literature | 2008 Jun

REPOSITORIES: biostudies-literature