NDLI: Game theoretic model for control of gene regulatory networks

Content Provider	IEEE Xplore Digital Library
Author	Liming Wang Schonfeld, D.
Copyright Year	2010
Description	Author affiliation: University of Illinois at Chicago, Department of Electrical and Computer Engineering, US (Liming Wang; Schonfeld, D.)
Abstract	The intervention in gene regulatory networks has been modelled as the Markov decision process problem. However, this approach only allows one external control, which is inadequate in many situations such as drug and gene therapies. In this paper, we propose the non-cooperative stochastic game model for intervention in the genetic regulatory networks as the generalization of the Markov decision process approach and formulate the intervention problem into solving the Nash equilibrium. The definition of equilibrium has been proposed and the existences for both infinite and finite horizon cases have been proven. We provide the numerical example for using non-cooperative stochastic game model on the mammalian cell cycle network. We also compare the results under the Nash equilibrium and independent Markov decision process approach.
Starting Page	542
Ending Page	545
File Size	116234
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5495613
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Game theory Nash equilibrium Stochastic processes Genetics Optimal control Drugs Gene therapy Diseases Control systems Switches Markov decision process Non-cooperative stochastic game Gene regulatory networks
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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