An integrated tool for microarray data clustering and cluster validity assessment.
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.


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


BACKGROUND
Nadia.Bolshakova@cs.tcd.ie.
Bolshakova
Nadia
N
Department of Computer Science, Trinity College, Dublin, Ireland. Nadia.Bolshakova@cs.tcd.ie
Azuaje
Francisco
F
Cunningham
Pádraig
P
D000465:Algorithms; D019985:Benchmarking / Q000379:methods; D016000:Cluster Analysis; D003628:Database Management Systems; D020869:Gene Expression Profiling / Q000379:methods*; D016247:Information Storage and Retrieval; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D012984:Software; D018511:Systems Integration; D014584:User-Computer Interface