A Markovian approach to the control of genetic regulatory networks

被引：29
|
作者：
Chen, Peter C. Y. [1 ]
Chen, Jeremy W. [1 ]
机构：
[1] Natl Univ Singapore, Fac Engn, Dept Mech Engn, Singapore 117548, Singapore
来源：
BIOSYSTEMS | 2007年 / 90卷 / 02期
关键词：
genetic networks; Markov chains; minimum-cost control; heuristic;
D O I：
10.1016/j.biosystems.2006.12.005
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
This paper presents an approach for controlling gene networks based on a Markov chain model, where the state of a gene network is represented as a probability distribution, while state transitions are considered to be probabilistic. An algorithm is proposed to determine a sequence of control actions that drives (without state feedback) the state of a given network to within a desired state set with a prescribed minimum or maximum probability. A heuristic is proposed and shown to improve the efficiency of the algorithm for a class of genetic networks. (c) 2007 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码：535 / 545
页数：11
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