An integrated tool for microarray data clustering and cluster validity assessment

被引：34

作者：

Bolshakova, N ^{[1
]}

Azuaje, F

Cunningham, P

机构：

[1] Univ Dublin Trinity Coll, Dept Comp Sci, Dublin 2, Ireland

[2] Univ Ulster, Sch Comp & Math, Jordanstown, North Ireland

来源：

BIOINFORMATICS | 2005年 / 21卷 / 04期

关键词：

D O I：

10.1093/bioinformatics/bti190

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

: 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.

引用

页码：451 / 455

页数：5

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