Optimal control for probabilistic Boolean networks using discrete-time Markov decision processes-Reference-Cited by-同舟云学术

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Optimal control for probabilistic Boolean networks using discrete-time Markov decision processes

Published:2018-08 Issue: Volume:503 Page:1297-1307
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Liu Qiuli,He Yu,Wang Junwei

Funder

Natural Science Foundation of Guangdong Province, China

Guangdong Province outstanding young teacher training plan, China

Zhujiang New Star, China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference21 articles.

1. Gene expression profiling, genetic networks, and cellular states: An integrating concept for tumorigenesis and drug discovery;Huang;J. Mol. Med.,1999

2. A computational model of class of gene networks with positive and negative control;Chen;Biosystems,2004

3. A discrete event approach to transcription control with dynamic event controllability;Chen;J. Comput. Biol.,2006

4. An integer programming approach to optimal control problems in context-sensitive probabilistic Boolean networks;Kobayashi;Automatica,2011

5. Symbolic approach to verification and control of deterministic/probabilistic Boolean networks;Kobayashi;IET Syst. Biol.,2012

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