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arXiv 1408.4518cond-mat.stat-mechq-bio.QMq-bio.SC
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生物学中的首次通过问题

First Passage Problems in Biology

UCLA(加州大学洛杉矶分校);CalState-Northridge(加州州立大学北岭分校)

Tom Chou, Maria R. D'Orsogna

AI总结:

本文综述了首次通过时间在生物学中的应用,涵盖分子解离、转录翻译、神经元放电等过程,探讨了马尔可夫模型及近似方法在生物系统中的应用。

摘要:

首次通过时间在随机过程中的应用广泛存在于生物学的各个长度和时间尺度上。在初步的技术概述之后,我们回顾了代表性应用及其对应的模型。在本质上为马尔可夫的过程模型中,我们讨论了跨越分子解离与自组装、分子搜索、转录与翻译、神经元放电、细胞突变与疾病、以及群体进化和种群动力学等领域的经典首次通过问题。在最后一个应用中,提出了一个简单的干细胞衰老模型并推导了部分结果。此外,还讨论了各种近似方法以及在所选应用中出现的物理和数学细微差别。

英文摘要:

Applications of first passage times in stochastic processes arise across a wide range of length and time scales in biological settings. After an initial technical overview, we survey representative applications and their corresponding models. Within models that are effectively Markovian, we discuss canonical examples of first passage problems spanning applications to molecular dissociation and self-assembly, molecular search, transcription and translation, neuronal spiking, cellular mutation and disease, and organismic evolution and population dynamics. In this last application, a simple model for stem-cell ageing is presented and some results derived. Various approximation methods and the physical and mathematical subtleties that arise in the chosen applications are also discussed.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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