Approximation of event probabilities in noisy cellular processes

DOI10.1016/J.TCS.2010.10.022zbMath1211.92016OpenAlexW1981594993MaRDI QIDQ533357

Verena Wolf, Thomas A. Henzinger, Frédéric Didier, Maria Mateescu

Publication date: 3 May 2011

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2010.10.022

zbMATH Keywords

Markov chainchemical master equationGillespie simulationinfinite-state model

Mathematics Subject Classification ID

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) Cell biology (92C37) Continuous-time Markov processes on discrete state spaces (60J27)

Related Items (2)

Approximation of event probabilities in noisy cellular processes ⋮ Formalisms for Specifying Markovian Population Models

Uses Software

• SABRE

Cites Work

• Approximation of event probabilities in noisy cellular processes
• Sequential estimation for prescribed statistical accuracy in stochastic simulation of biological systems
• A modified uniformization method for the solution of the chemical master equation
• Discrete-time stochastic modeling and simulation of biochemical networks
• Stochastic approaches for modelling in vivo reactions
• Computational Probability for Systems Biology
• Inexact Uniformization Method for Computing Transient Distributions of Markov Chains
• Sliding Window Abstraction for Infinite Markov Chains
• Adaptive uniformization
• Fokker–Planck approximation of the master equation in molecular biology
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