Discrete-time stochastic modeling and simulation of biochemical networks

DOI10.1016/j.compbiolchem.2008.03.018zbMath1158.92018OpenAlexW2034420270WikidataQ51878159 ScholiaQ51878159MaRDI QIDQ1004937

Werner Sandmann

Publication date: 12 March 2009

Published in: Computational Biology and Chemistry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.compbiolchem.2008.03.018

zbMATH Keywords

stochastic modelinguniformizationstochastic simulationbiochemical networkschemical master equationdiscrete-time Markov chain

Mathematics Subject Classification ID

Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Biochemistry, molecular biology (92C40) Continuous-time Markov processes on discrete state spaces (60J27)

Related Items (max. 100)

Computational Probability for Systems Biology ⋮ Stochastic modelling of the eukaryotic heat shock response ⋮ Approximation of event probabilities in noisy cellular processes ⋮ Approximate adaptive uniformization of continuous-time Markov chains

Cites Work

• The sorting direct method for stochastic simulation of biochemical systems with varying reaction execution behavior
• Stochastic approaches for modelling in vivo reactions
• Randomization Procedures in the Computation of Cumulative-Time Distributions over Discrete State Markov Processes
• Discrete time methods for simulating continuous time Markov chains
• Stochastic approach to chemical kinetics
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