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Bioinformatics Advance Access originally published online on December 17, 2004
Bioinformatics 2005 21(4):451-455; doi:10.1093/bioinformatics/bti190
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Bioinformatics vol. 21 issue 4 © Oxford University Press 2005; all rights reserved.

An integrated tool for microarray data clustering and cluster validity assessment

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

1 Department of Computer Science, Trinity College Dublin Ireland
2 School of Computing and Mathematics, University of Ulster at Jordanstow Northern Ireland, UK

*To whom correspondence should be addressed.

Summary: In this paper we present a data mining system, which allows the application of different clustering and cluster validity algorithms for DNA microarray data. This tool may improve the quality of the data analysis results, and may support the prediction of the number of relevant clusters in the microarray datasets. This systematic evaluation approach may significantly aid genome expression analyses for knowledge discovery applications. The developed software system may be effectively used for clustering and validating not only DNA microarray expression analysis applications but also other biomedical and physical data with no limitations.

Availability: The program is freely available for non-profit use on request at http://www.cs.tcd.ie/Nadia.Bolshakova/Machaon.html

Contact: Nadia.Bolshakova{at}cs.tcd.ie


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