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Bioinformatics Advance Access published online on December 17, 2004
Bioinformatics, doi:10.1093/bioinformatics/bti190
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Received May 21, 2004
Accepted November 11, 2004

Article

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.
Nadia Bolshakova, E-mail: Nadia.Bolshakova{at}cs.tcd.ie


  Abstract

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.

Bolshakova et al. (2004) An Integrated Tool for Microarray Data Clustering and Cluster Validity Assessment. Symposium on Applied Computing, Proceedings of the 2004 ACM symposium on Applied computing, 133-137; http://doi.acm.org/10.1145/967900.967929

Copyright 2004 Association for Computing Machinery, Inc. Reprinted by permission. Direct permission requests to permissions@acm.org


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