Optimal Intervention in Semi-Markov-Based Asynchronous Probabilistic Boolean Networks
Joint Authors
Zeng, Qingguo
Liu, Qiuli
Huang, Jinghao
Li, Deliang
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-04
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Liu, Qiuli& Zeng, Qingguo& Huang, Jinghao& Li, Deliang. 2018. Optimal Intervention in Semi-Markov-Based Asynchronous Probabilistic Boolean Networks. Complexity،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1136451
Modern Language Association (MLA)
Liu, Qiuli…[et al.]. Optimal Intervention in Semi-Markov-Based Asynchronous Probabilistic Boolean Networks. Complexity No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1136451
American Medical Association (AMA)
Liu, Qiuli& Zeng, Qingguo& Huang, Jinghao& Li, Deliang. Optimal Intervention in Semi-Markov-Based Asynchronous Probabilistic Boolean Networks. Complexity. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1136451
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136451