Gsea Algorithm

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<a href="http://www.broad.mit.edu/gsea/">GSEA Home</a> | <a href="http://www.broad.mit.edu/gsea/downloads.jsp">Downloads</a> | <a href="http://www.broad.mit.edu/gsea/msigdb/">Molecular Signatures Database</a> | Documentation | <a href="http://www.broad.mit.edu/gsea/contact.jsp">Contact</a>  <br />
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[http://www.broadinstitute.org/gsea/ GSEA Home] |
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[http://www.broadinstitute.org/gsea/downloads.jsp Downloads] |  
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[http://www.broadinstitute.org/gsea/msigdb/ Molecular Signatures Database] |  
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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 />
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[http://www.broadinstitute.org/cancer/software/gsea/wiki/index.php/Main_Page Documentation] |
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</p>
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[http://www.broadinstitute.org/gsea/contact.jsp Contact]
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<div style="margin-left: 40px;"> 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. (2005) Proc. Natl. Acad. Sci. USA 102, 15545-15550.<span style="font-weight: bold;"> <strong>Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression            profiles. </strong></span>[http://www.broad.mit.edu/gsea/doc/subramanian_tamayo_gsea_pnas.pdf pdf]<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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<span style="font-weight: bold;">            <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></span>[http://www.broad.mit.edu/gsea/doc/subramanian_tamayo_gsea_pnas_supp_info.pdf pdf] <br />
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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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Examples from the GSEA paper are provided [http://www.broad.mit.edu/gsea/resources/datasets_index.html here].<span style="font-weight: bold;"><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>

Current revision as of 07:05, 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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