Steady-state analysis of probabilistic Boolean networks

Steady-state analysis of probabilistic Boolean networks

This paper investigates steady-state distributions of probabilistic Boolean networks via cascading aggregation. Under this approach, the problem is converted to computing least square solutions to several corresponding equations. Two necessary and sufficient conditions for the existence of the stead...

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Bibliographic Details
Main Authors: Pan, Jinfeng, Feng, Jun-e, Meng, Min
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2021
Subjects:
Engineering::Electrical and electronic engineering
Genetic Networks
Controllability
Online Access:https://hdl.handle.net/10356/151172
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Institution: Nanyang Technological University
Language: English
Description
Summary:This paper investigates steady-state distributions of probabilistic Boolean networks via cascading aggregation. Under this approach, the problem is converted to computing least square solutions to several corresponding equations. Two necessary and sufficient conditions for the existence of the steady-state distributions for probabilistic Boolean networks are given firstly. Secondly, an algorithm for finding the steady-state distributions of probabilistic probabilistic Boolean networks is given. Finally, a numerical example is given to show the effectiveness of the proposed method.

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