Gsea Algorithm

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).

The algorithm is described in the following paper and supplementary information:

Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles.
Aravind Subramanian, Pablo Tamayo, Vamsi K. Mootha, Sayan Mukherjee, Benjamin L. Ebert, Michael A. Gillette, Amanda Paulovich, Scott L. Pomeroy, Todd R. Golub, Eric S. Lander and Jill P. Mesirov (2005) Proc. Natl. Acad. Sci. USA 102, 15545-15550.

Supplementary info for Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles.