Gsea Algorithm

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<p class="MsoNormal">Gene Set Enrichment Analysis (GSEA) is a computational method that determines whether an <em>a priori</em> 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:<br />
<p class="MsoNormal">Gene Set Enrichment Analysis (GSEA) is a computational method that determines whether an <em>a priori</em> 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:<br />

Revision as of 16:13, 23 January 2007

<a href="http://www.broad.mit.edu/gsea/">GSEA Home</a> | <a href="../../software/software_index.html">Software</a> | <a href="../../msigdb/msigdb_index.html">MSigDB</a> | Documentation | <a href="../../resources/resources_index.html">Resources</a>

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:

Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S. & Mesirov, J. P. (2005) Proc. Natl. Acad. Sci. USA 102, 15545-15550. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles. pdf


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

Examples from the GSEA paper are provided here.

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