Optimal Intervention in Semi-Markov-Based Asynchronous Probabilistic Boolean Networks

Synchronous probabilistic Boolean networks (PBNs) and generalized asynchronous PBNs have received significant attention over the past decade as a tool for modeling complex genetic regulatory networks. From a biological perspective, the occurrence of interactions among genes, such as transcription, t...

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Main Authors: Qiuli Liu, Qingguo Zeng, Jinghao Huang, Deliang Li
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2018/8983670
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author Qiuli Liu
Qingguo Zeng
Jinghao Huang
Deliang Li
author_facet Qiuli Liu
Qingguo Zeng
Jinghao Huang
Deliang Li
author_sort Qiuli Liu
collection DOAJ
description Synchronous probabilistic Boolean networks (PBNs) and generalized asynchronous PBNs have received significant attention over the past decade as a tool for modeling complex genetic regulatory networks. From a biological perspective, the occurrence of interactions among genes, such as transcription, translation, and degradation, may require a few milliseconds or even up to a few seconds. Such a time delay can be best characterized by generalized asynchronous PBNs. This paper attempts to study an optimal control problem in a generalized asynchronous PBN by employing the theory of average value-at-risk (AVaR) for finite horizon semi-Markov decision processes. Specifically, we first formulate a control model for a generalized asynchronous PBN as an AVaR model for finite horizon semi-Markov decision processes and then solve an optimal control problem for minimizing average value-at-risk criterion over a finite horizon. In order to illustrate the validity of our approach, a numerical example is also displayed.
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publishDate 2018-01-01
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spelling doaj-art-cf45eb067ae74c4c8aa4d41b5666fc262025-02-03T05:43:50ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/89836708983670Optimal Intervention in Semi-Markov-Based Asynchronous Probabilistic Boolean NetworksQiuli Liu0Qingguo Zeng1Jinghao Huang2Deliang Li3School of Mathematical Sciences, South China Normal University, Guangzhou 510631, ChinaSchool of Mathematical Sciences, South China Normal University, Guangzhou 510631, ChinaSchool of Mathematical Sciences, South China Normal University, Guangzhou 510631, ChinaSchool of Mathematical Sciences, South China Normal University, Guangzhou 510631, ChinaSynchronous probabilistic Boolean networks (PBNs) and generalized asynchronous PBNs have received significant attention over the past decade as a tool for modeling complex genetic regulatory networks. From a biological perspective, the occurrence of interactions among genes, such as transcription, translation, and degradation, may require a few milliseconds or even up to a few seconds. Such a time delay can be best characterized by generalized asynchronous PBNs. This paper attempts to study an optimal control problem in a generalized asynchronous PBN by employing the theory of average value-at-risk (AVaR) for finite horizon semi-Markov decision processes. Specifically, we first formulate a control model for a generalized asynchronous PBN as an AVaR model for finite horizon semi-Markov decision processes and then solve an optimal control problem for minimizing average value-at-risk criterion over a finite horizon. In order to illustrate the validity of our approach, a numerical example is also displayed.http://dx.doi.org/10.1155/2018/8983670
spellingShingle Qiuli Liu
Qingguo Zeng
Jinghao Huang
Deliang Li
Optimal Intervention in Semi-Markov-Based Asynchronous Probabilistic Boolean Networks
Complexity
title Optimal Intervention in Semi-Markov-Based Asynchronous Probabilistic Boolean Networks
title_full Optimal Intervention in Semi-Markov-Based Asynchronous Probabilistic Boolean Networks
title_fullStr Optimal Intervention in Semi-Markov-Based Asynchronous Probabilistic Boolean Networks
title_full_unstemmed Optimal Intervention in Semi-Markov-Based Asynchronous Probabilistic Boolean Networks
title_short Optimal Intervention in Semi-Markov-Based Asynchronous Probabilistic Boolean Networks
title_sort optimal intervention in semi markov based asynchronous probabilistic boolean networks
url http://dx.doi.org/10.1155/2018/8983670
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