GPU-accelerated steady-state computation of large probabilistic Boolean networks

DOI10.1007/S00165-018-0470-6zbMath1425.68121OpenAlexW2895604053WikidataQ129151531 ScholiaQ129151531MaRDI QIDQ667518

Andrzej Mizera, Jun Pang, Qixia Yuan

Publication date: 13 March 2019

Published in: Formal Aspects of Computing (Search for Journal in Brave)

Full work available at URL: http://orbilu.uni.lu/handle/10993/39098

zbMATH Keywords

simulationstatistical methodsbiological networkscomputational modellinggraphics processing unit (GPU)discrete-time Markov chainsprobabilistic Boolean networks

Mathematics Subject Classification ID

Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.) (68Q10) Systems biology, networks (92C42) Probability in computer science (algorithm analysis, random structures, phase transitions, etc.) (68Q87)

Related Items (2)

On state feedback asymptotical stabilization of probabilistic Boolean control networks ⋮ GPU-accelerated steady-state computation of large probabilistic Boolean networks

Uses Software

• Gibbsit
• optPBN
• ASSA-PBN

Cites Work

• Unnamed Item
• GPU-accelerated steady-state computation of large probabilistic Boolean networks
• Relationships between probabilistic Boolean networks and dynamic Bayesian networks as models of gene regulatory networks
• Fast simulation of probabilistic Boolean networks
• Inference from iterative simulation using multiple sequences
• ASSA-PBN: An Approximate Steady-State Analyser of Probabilistic Boolean Networks

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