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In this paper, we describe how general distributions are introduced into BlenX, a programming language designed for specifying biological models.
Oct 22, 2024 · The Stochastic Simulation Algorithm (SSA) is a milestone in the realm of stochastic modeling of biological systems, as it inspires all the ...
The Stochastic Simulation Algorithm (SSA) is a milestone in the realm of stochastic modeling of biological systems, as it inspires all the current ...
Essentially, the SSA shows that under certain hypothesis the time to the next occurrence of a biochemical reaction is a random variable following a negative ...
The Stochastic Simulation Algorithm (SSA) is a milestone in the realm of stochastic modeling of biological systems, as it inspires all the current algorithms ...
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Jun 1, 2015 · We propose here a methodology for building stochastic simulation algorithms which model more precisely non-Markovian processes in some specific situations.
We propose here a methodology for building stochastic simulation algorithms which model more precisely non-Markovian processes in some specific situations.
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Mar 22, 2024 · In this tutorial, we introduce the theory behind two recently developed GME-based non-Markovian dynamic models: the quasi-Markov State Model (qMSM) and the ...
Current production systems produce a wealth of information in the form of protocols, which is hardly exploited, often due to a lack of appropriate analysis.
May 19, 2020 · Non-Markovian type of recovery process also occurs in biochemical reactions and in the financial markets. We note that, in the context of ...