Extracting gene expression patterns and identifying co-expressed genes from microarray data reveals biologically responsive processes.

ABSTRACT:

Background

A common observation in the analysis of gene expression data is that many genes display similarity in their expression patterns and therefore appear to be co-regulated. However, the variation associated with microarray data and the complexity of the experimental designs make the acquisition of co-expressed genes a challenge. We developed a novel method for Extracting microarray gene expression Patterns and Identifying co-expressed Genes, designated as EPIG. The approach utilizes the underlying structure of gene expression data to extract patterns and identify co-expressed genes that are responsive to experimental conditions.

Results

Through evaluation of the correlations among profiles, the magnitude of variation in gene expression profiles, and profile signal-to-

SUBMITTER: Chou JW 

PROVIDER: S-EPMC2194742 | biostudies-literature | 2007 Nov

REPOSITORIES: biostudies-literature