Steady-state analysis of probabilistic Boolean networks

DOI10.1016/J.JFRANKLIN.2019.01.039zbMath1411.92200OpenAlexW2911887157MaRDI QIDQ1738576

Jinfeng Pan, Min Meng, Jun-E. Feng

Publication date: 18 April 2019

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2019.01.039

zbMATH Keywords

gene regulatory networksprobabilistic Boolean networks

Mathematics Subject Classification ID

Genetics and epigenetics (92D10) Systems biology, networks (92C42)

Related Items (6)

On state feedback asymptotical stabilization of probabilistic Boolean control networks ⋮ Identification and stabilization of faulty Boolean control networks ⋮ Finite-time pinning stabilization of Markovian jump Boolean networks ⋮ Function perturbation impact on asymptotical stability of probabilistic Boolean networks: changing to finite-time stability ⋮ Controllability and reachability of periodically time-variant mixed-valued logical control networks ⋮ Logical matrix factorization towards topological structure and stability of probabilistic Boolean networks

Cites Work

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• On controllability and stabilizability of probabilistic Boolean control networks
• Analysis and control of Boolean networks. A semi-tensor product approach.
• Further results on feedback stabilization control design of Boolean control networks
• Controllability of probabilistic Boolean control networks based on transition probability matrices
• Context-Sensitive Probabilistic Boolean Networks: Steady-State Properties, Reduction, and Steady-State Approximation
• Stability and $l_1$ Gain Analysis of Boolean Networks With Markovian Jump Parameters
• Aggregation Algorithm Towards Large-Scale Boolean Network Analysis

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