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.
Generic problems with the Roth Lab's website should be reported to the administrator.
This file (/srv/www/llama.mshri.on.ca/cgi/ClusterJudge/cluster_judge.pl), last modified Friday13:11, 2 Oct 2020 by apache.
Copyright (c) 2001-2006 by Frank Gibbons and the President and Fellows of Harvard University. All rights reserved.