Difference between revisions of "Gsea Algorithm"
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| − | + | [http://www.broadinstitute.org/gsea/ GSEA Home] | | |
| − | + | [http://www.broadinstitute.org/gsea/downloads.jsp Downloads] | | |
| − | <br | + | [http://www.broadinstitute.org/gsea/msigdb/ Molecular Signatures Database] | |
| − | <p | + | [http://www.broadinstitute.org/cancer/software/gsea/wiki/index.php/Main_Page Documentation] | |
| − | < | + | [http://www.broadinstitute.org/gsea/contact.jsp Contact] |
| − | < | + | <br> |
| − | <br | + | <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> |
| − | + | <p>The algorithm is described in the following paper and supplementary information:</p> | |
| − | < | + | <p> |
| − | + | Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles.<br> | |
| − | Examples from the GSEA paper are provided [http://www. | + | 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.<br> |
| − | + | <i>Proc. Natl. Acad. Sci. USA</i> (2005) <strong>102</strong>:15545-50. | |
| + | [http://www.broadinstitute.org/gsea/doc/subramanian_tamayo_gsea_pnas.pdf PDF]</p> | ||
| + | <p>Supplementary Information for<br> | ||
| + | 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> | ||
| + | <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.
