ClusterJudge
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The file of clustered data you uploaded is being evaluated for the information content between the clusters and the annotation provided by the Gene Ontology Consortium. For yeast, this consists of about 2000 attributes specified for all 6300 genes in the genome. Your data will then be evaluated against randomly clustered data, and you will receive a z-score representing the likelihood that your clustered result could have occurred by chance. The larger the z-score, the better your clustering result.

Please wait, depending on server load, this may take a minute or two. Click on the column headers displaying (↑↓) to sort the table.

No. clusters (↑↓) z-score (↑↓) Total no. genes

This page is maintained by Kenny Chua at the Roth Lab of Harvard Medical School.
Please address problems relating specifically to this page to Kenny Chua.
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This file (/www/llama.mshri.on.ca/cgi/ClusterJudge/cluster_judge.pl), last modified Saturday11:59, 12 Mar 2011 by .
Copyright (c) 2001-2006 by Frank Gibbons and the President and Fellows of Harvard University. All rights reserved.

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