Inferring regulatory networks

被引：27

作者：

Li, Huai ^{[1
]}

Xuan, Jianhua ^{[2
]}

Wang, Yue ^{[2
]}

Zhan, Ming ^{[1
]}

机构：

[1] NIA, Bioinformat Unit, Branch Res Resources, NIH, Baltimore, MD 21224 USA

[2] Virginia Polytech Inst & State Univ, Dept Elect Comp & Biomed Engn, Arlington, VA USA

来源：

FRONTIERS IN BIOSCIENCE-LANDMARK | 2008年 / 13卷

关键词：

systems biology; regulatory network; coexpression; pathway dynamics; Modeling and inference; transcriptional intervention; review;

D O I：

10.2741/2677

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

The discovery of regulatory networks is an important aspect in the post genomic research. The process requires integrated efforts of experimental and computational strategies by employing the systems biology approach. This review summarizes some of the major themes in computational inference of regulatory networks based on gene expression and other data sources, including transcriptional module identification, network topology inference, and network analysis. Popular solutions to each of these problems and their relative merits are discussed.

引用

页码：263 / 275

页数：13

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