Bioinformatic methods for integrating whole-genome expression results into cellular networks

被引：25

作者：

Cavalieri, D ^{[1
]}

De Filippo, C ^{[1
]}

机构：

[1] Univ Florence, Dept Pharmacol, I-50139 Florence, Italy

来源：

DRUG DISCOVERY TODAY | 2005年 / 10卷 / 10期

关键词：

D O I：

10.1016/S1359-6446(05)03433-1

中图分类号：

R9 [药学];

学科分类号：

1007 ;

摘要：

Extracting a comprehensive overview from the huge amount of information arising from whole-genome analyses is a significant challenge. This review critically surveys the state of the art methods that are used to connect information from functional genomic studies to biological function. Cluster analysis methods for inferring the correlation between genes are discussed, as are the methods for integrating gene expression information with existing information on biological pathways and the methods that combine cluster analysis with biological information to reconstruct novel biological networks.

引用

页码：727 / 734

页数：8

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