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BIOSYSTEMS
2007

A Markovian approach to the control of genetic regulatory networks

10 years 1 months ago
A Markovian approach to the control of genetic regulatory networks
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. © 2007 Elsevier Ireland Ltd. All rights reserved.
Peter C. Y. Chen, Jeremy W. Chen
Added 08 Dec 2010
Updated 08 Dec 2010
Type Journal
Year 2007
Where BIOSYSTEMS
Authors Peter C. Y. Chen, Jeremy W. Chen
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