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Bioinformatics Advance Access originally published online on February 15, 2005
Bioinformatics 2005 21(10):2546-2547; doi:10.1093/bioinformatics/bti317
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© Published by Oxford University Press 2005.

A knowledge-driven approach to cluster validity assessment

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

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

*To whom correspondence should be addressed.

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.

Contact: nadia.bolshakova{at}cs.tcd.ie

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


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