First passage events in biological systems with non-exponential inter-event times.

First passage events in biological systems with non-exponential inter-event times.
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具有非指数事件间时间的生物系统中的首次通过事件。

DOI:
10.1038/s41598-018-32961-7
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发表时间:
2018-10-10
期刊:
影响因子:
4.6
通讯作者:
Molina-París C
Molina-París C
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Castro M;López-García M;Lythe G;Molina-París C

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通常可以将生物系统的动力学建模为一系列可观察状态(或隔室)之间的离散转换。当在每个状态的停留时间,或更一般的事件间时间,是指数分布的,然后可以写一组常微分方程,它精确地描述了平均量的演变。非指数事件间时间也可以通过实验观察到,但更难以数学分析。本文主要研究非指数事件间隔时间的生物系统中首次通过事件及其概率的计算。我们表明,从分子免疫学,病毒学和流行病学的三个案例研究,引入重大错误时,得出结论的基础上的假设,事件间隔时间呈指数分布。我们的方法可以避免这些错误,使用相位型分布,近似任意分布的事件间时间。
It is often possible to model the dynamics of biological systems as a series of discrete transitions between a finite set of observable states (or compartments). When the residence times in each state, or inter-event times more generally, are exponentially distributed, then one can write a set of ordinary differential equations, which accurately describe the evolution of mean quantities. Non-exponential inter-event times can also be experimentally observed, but are more difficult to analyse mathematically. In this paper, we focus on the computation of first passage events and their probabilities in biological systems with non-exponential inter-event times. We show, with three case studies from Molecular Immunology, Virology and Epidemiology, that significant errors are introduced when drawing conclusions based on the assumption that inter-event times are exponentially distributed. Our approach allows these errors to be avoided with the use of phase-type distributions that approximate arbitrarily distributed inter-event times.
DOI: 10.1073/pnas.92.11.5042
发表时间: 1995-05-23
影响因子: 11.1
作者:
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