Difference between revisions of "Gsea Algorithm"

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[http://www.broadinstitute.org/gsea/ GSEA Home] |
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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>
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[http://www.broadinstitute.org/gsea/downloads.jsp Downloads] |
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<p class="MsoNormal">The algorithm is described in the following paper and supplementary information:<br /></p>
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[http://www.broadinstitute.org/gsea/msigdb/ Molecular Signatures Database] |
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<span style="text-decoration: underline;">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="text-decoration: underline;">Supplementary info for 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_supp_info.pdf pdf]
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[http://www.broadinstitute.org/cancer/software/gsea/wiki/index.php/Main_Page Documentation] |
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<ul>           </ul>
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[http://www.broadinstitute.org/gsea/contact.jsp Contact]
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<br>
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<p>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).</p>
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<p>The algorithm is described in the following paper and supplementary information:</p>
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<p>
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Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles.<br>
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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. &amp; Mesirov, J. P.<br>
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<i>Proc. Natl. Acad. Sci. USA</i> (2005) <strong>102</strong>:15545-50.
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[http://www.broadinstitute.org/gsea/doc/subramanian_tamayo_gsea_pnas.pdf PDF]</p>
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<p>Supplementary Information for<br>
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Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles.[http://www.broadinstitute.org/gsea/doc/subramanian_tamayo_gsea_pnas_supp_info.pdf pdf]</p>
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<p>Examples from the GSEA paper are provided [http://www.broadinstitute.org/gsea/datasets.jsp here].</p>

Latest revision as of 02:05, 25 September 2016

GSEA Home | Downloads | Molecular Signatures Database | Documentation | Contact

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.
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.
Proc. Natl. Acad. Sci. USA (2005) 102:15545-50. PDF

Supplementary Information 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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