Stability Analysis of Boolean Networks With Stochastic Function Perturbations

Using the semi-tensor product method, this paper studies the set stability of Boolean networks (BNs) with stochastic function perturbations. First, the definition of one-column function perturbation for BNs is defined, and two kinds of stochastic function perturbations are formulated. Second, by con...

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Main Authors: Xueying Ding, Haitao Li, Xiaodong Li, Weiwei Sun
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8571224/
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author Xueying Ding
Haitao Li
Xiaodong Li
Weiwei Sun
author_facet Xueying Ding
Haitao Li
Xiaodong Li
Weiwei Sun
author_sort Xueying Ding
collection DOAJ
description Using the semi-tensor product method, this paper studies the set stability of Boolean networks (BNs) with stochastic function perturbations. First, the definition of one-column function perturbation for BNs is defined, and two kinds of stochastic function perturbations are formulated. Second, by constructing a state transition matrix, a new criterion is proposed for the set stability of BNs with probabilistic function perturbation. Third, the set stability of BNs with Markov jump function perturbation is studied by calculating the state probability distribution. Finally, the obtained results are applied to D. melanogaster segmentation polarity gene network.
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spelling doaj.art-c187bc2f6b84454a88a21cfc50f3e9322022-12-21T18:11:15ZengIEEEIEEE Access2169-35362019-01-0171323132910.1109/ACCESS.2018.28859518571224Stability Analysis of Boolean Networks With Stochastic Function PerturbationsXueying Ding0Haitao Li1https://orcid.org/0000-0001-5322-5375Xiaodong Li2Weiwei Sun3School of Mathematics and Statistics, Shandong Normal University, Jinan, ChinaSchool of Mathematics and Statistics, Shandong Normal University, Jinan, ChinaSchool of Mathematics and Statistics, Shandong Normal University, Jinan, ChinaInstitute of Automation, Qufu Normal University, Qufu, ChinaUsing the semi-tensor product method, this paper studies the set stability of Boolean networks (BNs) with stochastic function perturbations. First, the definition of one-column function perturbation for BNs is defined, and two kinds of stochastic function perturbations are formulated. Second, by constructing a state transition matrix, a new criterion is proposed for the set stability of BNs with probabilistic function perturbation. Third, the set stability of BNs with Markov jump function perturbation is studied by calculating the state probability distribution. Finally, the obtained results are applied to D. melanogaster segmentation polarity gene network.https://ieeexplore.ieee.org/document/8571224/Boolean networkstabilitystochastic function perturbationsemi-tensor product of matrices
spellingShingle Xueying Ding
Haitao Li
Xiaodong Li
Weiwei Sun
Stability Analysis of Boolean Networks With Stochastic Function Perturbations
IEEE Access
Boolean network
stability
stochastic function perturbation
semi-tensor product of matrices
title Stability Analysis of Boolean Networks With Stochastic Function Perturbations
title_full Stability Analysis of Boolean Networks With Stochastic Function Perturbations
title_fullStr Stability Analysis of Boolean Networks With Stochastic Function Perturbations
title_full_unstemmed Stability Analysis of Boolean Networks With Stochastic Function Perturbations
title_short Stability Analysis of Boolean Networks With Stochastic Function Perturbations
title_sort stability analysis of boolean networks with stochastic function perturbations
topic Boolean network
stability
stochastic function perturbation
semi-tensor product of matrices
url https://ieeexplore.ieee.org/document/8571224/
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AT haitaoli stabilityanalysisofbooleannetworkswithstochasticfunctionperturbations
AT xiaodongli stabilityanalysisofbooleannetworkswithstochasticfunctionperturbations
AT weiweisun stabilityanalysisofbooleannetworkswithstochasticfunctionperturbations