A novel regulatory event-based gene set analysis method for exploring global functional changes in heterogeneous genomic data sets.

ABSTRACT:

Background

Analyzing gene expression data by assessing the significance of pre-defined gene sets, rather than individual genes, has become a main approach in microarray data analysis and this has promisingly derive new biological interpretations of microarray data. However, the detection power of conventional gene list or gene set-based approaches is limited on highly heterogeneous samples, such as tumors.

Results

We developed a novel method, the regulatory event-based Gene Set Analysis (eGSA), which considers not only the consistently changed genes but also every gene regulation (event) of each sample to overcome the detection limit. In comparison with conventional methods, eGSA can detect functional changes in heterogeneous samples more precisely and robustly. Furthermore,

SUBMITTER: Tung CY 

PROVIDER: S-EPMC2637897 | biostudies-literature | 2009 Jan

REPOSITORIES: biostudies-literature