Reverse-engineering transcription control networks

被引：160

作者：

Gardner, Timothy S. ^{[1
]}

Faith, Jeremiah J. ^{[1
]}

机构：

[1] Boston Univ, Dept Biomed Engn, Boston, MA 02215 USA

来源：

PHYSICS OF LIFE REVIEWS | 2005年 / 2卷 / 01期

关键词：

gene networks; reverse-engineering; machine learning; transcription control; gene regulation;

D O I：

10.1016/j.plrev.2005.01.001

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Microarray technologies, which enable the simultaneous measurement of all RNA transcripts in a cell, have spawned the development of algorithms for reverse-engineering transcription control networks. In this article, we classify the algorithms into two general strategies: physical modeling and influence modeling. We discuss the biological and computational principles underlying each strategy, and provide leading examples of each. We also discuss the practical considerations for developing and applying the various methods. (c) 2005 Elsevier B.V. All rights reserved.

引用

页码：65 / 88

页数：24

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