Reverse-engineering transcription control networks
Reverse-engineering transcription control networks
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DOI：
10.1016/j.plrev.2005.01.001
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发表时间：
2005-03-01
影响因子：
11.7
通讯作者：
Faith, Jeremiah J.
中科院分区：
文献类型：
--
作者：
Gardner, Timothy S.;Faith, Jeremiah J.
微阵列技术能够同时测量细胞中的所有RNA转录物，已经催生了反向工程转录控制网络算法的发展。在这篇文章中，我们将算法分为两个一般的策略：物理建模和影响建模。我们讨论了每种策略背后的生物学和计算原理，并提供了每种策略的主要例子。我们还讨论了开发和应用各种方法的实际考虑。(c)2005 Elsevier B.V.保留所有权利。
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.