A matrix perturbation method for computing the steady-state probability distributions of probabilistic Boolean networks with gene perturbations

DOI10.1016/j.cam.2010.10.021zbMath1207.92015OpenAlexW2074817082MaRDI QIDQ629480

Wei-Wei Xu, Wen Li, Wai-Ki Ching, Shu-Qin Zhang, Xiao Shan Chen

Publication date: 9 March 2011

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2010.10.021

zbMATH Keywords

Boolean networksperturbation matrixprobabilistic Boolean networkssteady-state probability distributiongene perturbation

Mathematics Subject Classification ID

Combinatorial probability (60C05) Systems biology, networks (92C42)

Related Items (5)

The effects of node exclusion on the centrality measures in graph models of interacting economic agents ⋮ On computation of the steady-state probability distribution of probabilistic Boolean networks with gene perturbation ⋮ On Generating Optimal Sparse Probabilistic Boolean Networks with Maximum Entropy from a Positive Stationary Distribution ⋮ Function perturbation impact on stability in distribution of probabilistic Boolean networks ⋮ Dimension reduction of large sparse AND-NOT network models

Cites Work

• Unnamed Item
• Markov chains: models, algorithms and applications
• New perturbation analysis for generalized saddle point systems
• Control of Boolean networks: hardness results and algorithms for tree structured networks

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