Gene Set Enrichment Analysis (GSEA) is a computational method that determines whether an a priori defined set of genes shows statistically significant, concordant differences between two biological states (e.g. phenotypes).
- Using gene sets, e.g., pathways, GO categories, to interpret microarray (and other) biology data
- Using a measure of differential expression for all the genes, rather than a list of distinguished genes
- The general approach of the Broad Institute’s GSEA software // comparison with DAVID (NIAID)
- The statistics behind GSEA // The data files required to use GSEA
- Understanding the output files produced by GSEA (April 23: hands on running the GSEA software)