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...
Saved in:
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Verification and Optimal Control of Context-Sensitive Probabilistic Boolean Networks Using Model Checking and Polynomial Optimization
by: Koichi Kobayashi, et al.
Published: (2014-01-01) -
Reinforcement Learning with Probabilistic Boolean Network Models of Smart Grid Devices
by: Pedro Juan Rivera Torres, et al.
Published: (2022-01-01) -
Optimal Asynchronous Guaranteed Cost Control of Uncertain Markov Jump Systems With Actuator Saturation and Nonideal Transition Probabilities
by: Jiazheng Liu, et al.
Published: (2025-01-01) -
Event-Triggered Asynchronous Dissipative Control for Markov Jump Systems With Unknown Probabilities
by: Huiying Chen, et al.
Published: (2025-01-01) -
A synthesis method for zero-sum mean-payoff asynchronous probabilistic games
by: Wei Zhao, et al.
Published: (2025-01-01)