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davideby committed May 21, 2020
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6 changes: 4 additions & 2 deletions docs/v20/index.html
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<div class="gp-content-header fluid">
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<h1>GSEA (v20.0.x)</h1>
<h1>GSEA (v20.0.x) <a style="float: right" href="https://www.genepattern.org"><img alt="GP Logo" src="gplogo.png" /></a></h1>
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<p style="font-size: 1.2em; margin-top: 20px;">Gene Set Enrichment Analysis</p>
<p style="font-size: 1.2em; margin-top: 20px;">Gene Set Enrichment Analysis for the GenePattern platform</p>
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<p><strong>Author: </strong>Aravind Subramanian, Pablo Tamayo, David Eby; Broad Institute</p>
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<h2>Summary</h2>

<p>Gene Set Enrichment Analysis (GSEA) is a powerful analytical method for interpreting gene expression data.&nbsp; It evaluates cumulative changes in the expression of groups of multiple genes defined based on prior biological knowledge.&nbsp; It first ranks all genes in a data set, then calculates an enrichment score for each gene set, which reflects how often members of that gene set occur at the top or bottom of the ranked data set (for example, in expression data, in either the most highly expressed genes or the most underexpressed genes).</p>
<p><strong>NOTE:</strong> this documentation refers to the GenePattern module edition of GSEA. Please visit
<a href="https://www.gsea-msigdb.org">The GSEA website</a> for full information on the GSEA platform.</p>

<h2>Introduction</h2>

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