Difference between revisions of "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). <br /></p> | <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). <br /></p> | ||
<p class="MsoNormal">The algorithm is described in the following paper and supplementary information:<br /></p> | <p class="MsoNormal">The algorithm is described in the following paper and supplementary information:<br /></p> | ||
| − | <span style=" | + | <span style="font-weight: bold;">Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles.</span> [http://wwwdev.broad.mit.edu/gsea/doc/subramanian_tamayo_gsea_pnas.pdf pdf]<br /> 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. <br /><br /> <span style="font-weight: bold;">Supplementary info for Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles.</span><span style="text-decoration: underline;"> </span>[http://wwwdev.broad.mit.edu/gsea/doc/subramanian_tamayo_gsea_pnas_supp_info.pdf pdf] |
<ul> </ul> | <ul> </ul> | ||
Revision as of 13:57, 28 March 2006
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. pdf
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. pdf
