Gsea Algorithm

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Examples from the GSEA paper are provided [http://www.broadinstitute.org/gsea/resources/datasets_index.html here].<span style="font-weight: bold;"><br />
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Examples from the GSEA paper are provided [http://www.broadinstitute.org/gsea/datasets.jsp here].<span style="font-weight: bold;"><br />
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Revision as of 20:06, 16 October 2012

<a href="http://www.broadinstitute.org/gsea/">GSEA Home</a> | <a href="http://www.broadinstitute.org/gsea/downloads.jsp">Downloads</a> | <a href="http://www.broadinstitute.org/gsea/msigdb/">Molecular Signatures Database</a> | Documentation | <a href="http://www.broadinstitute.org/gsea/contact.jsp">Contact</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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