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You do the clustering, we tell you how good it is.

This page implements the algorithm published as
Gibbons, F.D. and Roth F.P., (2002)
Judging the Quality of Gene Expression-Based Clustering Methods Using Gene Annotation. 
Genome Research, vol. 12, pp1574-1581.
You can download a copy of the perl code if you'd like, or just use this page to run it on our server.
An R version of the ClusterJudge is also available in bioconductor repository.

This is not a new clustering algorithm. Rather, it is a way to judge the quality of data that have been clustered elsewhere. We do this by evaluating the mutual information between a gene's membership in a cluster, and the attributes it possesses, as annotated by the Saccharomyces Genome Database (SGD) You can upload several files of clustered data at once and compare them.

NOTE: In the five years since ClusterJudge was released, a number of developments have taken place which may impact how it performs on your data.

How many cluster files do you want to compare?

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/, 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.

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