De-correlating expression in gene-set analysis.
- Citation data:
Bioinformatics (Oxford, England), ISSN: 1367-4811, Vol: 26, Issue: 18, Page: i511-6
- Publication Year:
- Repository URL:
- Mathematics; Biochemistry, Genetics and Molecular Biology; Computer Science; Medicine; ENRICHMENT ANALYSIS; PROFILES; PATHWAYS
Group-wise pattern analysis of genes, known as gene-set analysis (GSA), addresses the differential expression pattern of biologically pre-defined gene sets. GSA exhibits high statistical power and has revealed many novel biological processes associated with specific phenotypes. In most cases, however, GSA relies on the invalid assumption that the members of each gene set are sampled independently, which increases false predictions.