Unsupervised pattern recognition: An introduction to the whys and wherefores of clustering microarray data

被引：74

作者：

Boutros, PC

Okey, AB

机构：

[1] Univ Toronto, Dept Pharmacol, Toronto, ON M5S 1A8, Canada

[2] Univ Toronto, Dept Phys Med, Toronto, ON M5S 1A8, Canada

来源：

BRIEFINGS IN BIOINFORMATICS | 2005年 / 6卷 / 04期

关键词：

pattern recognition; clustering; microarray; systems biology; data integration; co-regulation;

D O I：

10.1093/bib/6.4.331

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Clustering has become an integral part of microarray data analysis and interpretation. The algorithmic basis of clustering - the application of unsupervised machine-learning techniques to identify the patterns inherent in a data set - is well established. This review discusses the biological motivations for and applications of these techniques to integrating gene expression data with other biological information, such as functional annotation, promoter data and proteomic data.

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收藏

页码：331 / 343

页数：13

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