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Bioinformatics Advance Access published online on February 15, 2005
Bioinformatics, doi:10.1093/bioinformatics/bti317
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© The Author (2005). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oupjournals.org
Received November 1, 2004
Revised January 24, 2005
Accepted February 8, 2005

Applications note

A knowledge-driven approach to cluster validity assessment

Nadia Bolshakova 1*, Francisco Azuaje 2, and Pádraig Cunningham 1

1 Department of Computer Science, Trinity College Dublin, Dublin 2, Ireland
2 School of Computing and Mathematics, University of Ulster, Jordanstown, BT37 0QB, UK

* To whom correspondence should be addressed.
Nadia Bolshakova, E-mail: Nadia.Bolshakova{at}cs.tcd.ie


  Abstract

Summary: This paper presents an approach to assessing cluster validity based on similarity knowledge extracted from the Gene Ontology.

Availability: The program is freely available for non-profit use on request from the authors.

Supplementary information: http://www.cs.tcd.ie/Nadia.Bolshakova/GOtool.html.


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