Identification of differential gene pathways with principal component analysis.

ABSTRACT:

Motivation

Development of high-throughput technology makes it possible to measure expressions of thousands of genes simultaneously. Genes have the inherent pathway structure, where pathways are composed of multiple genes with coordinated biological functions. It is of great interest to identify differential gene pathways that are associated with the variations of phenotypes.

Results

We propose the following approach for detecting differential gene pathways. First, we construct gene pathways using databases such as KEGG or GO. Second, for each pathway, we extract a small number of representative features, which are linear combinations of gene expressions and/or their transformations. Specifically, we propose using (i) principal components (PCs) of gene expression sets, (ii) P

SUBMITTER: Ma S 

PROVIDER: S-EPMC2732304 | biostudies-literature | 2009 Apr

REPOSITORIES: biostudies-literature