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- W2294575587 abstract "A biochemical reaction system is a complex network of several species interacting through different reaction channels. Modern experimental techniques have conclusively testified to the stochastic nature of these systems, particularly those with small molecular counts of reactant species. The stochastic nature of such systems can be successfully modeled by an appropriate continuous time Markov chain. The aim of this note is to describe the framework of this Markov modeling approach and then focus on different simulation techniques that are particularly beneficial to the practitioners. Our discussion includes certain approximate simulation schemes, which are computationally efficient for simulating large multiscale systems compared to the statistically exact ones." @default.
- W2294575587 created "2016-06-24" @default.
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- W2294575587 date "2015-09-19" @default.
- W2294575587 modified "2023-09-23" @default.
- W2294575587 title "Modeling Biochemical Reaction Systems with Markov Chains" @default.
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- W2294575587 doi "https://doi.org/10.1007/978-4-431-55342-7_6" @default.
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