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). The algorithm is described in the following paper and supplementary information:<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 /> | ||
Revision as of 13:24, 5 December 2007
<a href="http://www.broad.mit.edu/gsea/">GSEA Home</a> | <a href="../../software/software_index.html">Software</a> | <a href="http://www.broad.mit.edu/gsea/msigdb/">MSigDB</a> | Documentation | <a href="../../resources/resources_index.html">Resources</a>
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:
Supplementary info for Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles. pdf
Examples from the GSEA paper are provided here.
