Difference between revisions of "Gsea Algorithm"
Jump to navigation
Jump to search
| Line 1: | Line 1: | ||
<br /> | <br /> | ||
<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 /></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). The algorithm is described in the following paper and supplementary information:<br /></p> | ||
| − | 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.<span style="font-weight: bold;"> <strong>Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles.</strong></span> [http://wwwdev.broad.mit.edu/gsea/doc/subramanian_tamayo_gsea_pnas.pdf pdf]<span style="font-weight: bold;"><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></span>[http://wwwdev.broad.mit.edu/gsea/doc/subramanian_tamayo_gsea_pnas_supp_info.pdf pdf]<span style="font-weight: bold;"> | + | <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. & 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://wwwdev.broad.mit.edu/gsea/doc/subramanian_tamayo_gsea_pnas.pdf pdf]<span style="font-weight: bold;"></span><br /><span style="font-weight: bold;"></span><br /><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://wwwdev.broad.mit.edu/gsea/doc/subramanian_tamayo_gsea_pnas_supp_info.pdf pdf] <br /></div> |
| + | <span style="font-weight: bold;"> | ||
<ul> </ul> | <ul> </ul> | ||
</span> | </span> | ||
Revision as of 14:00, 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:
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
Supplementary info for Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles. pdf
