Modeling stochastic gene expression: From Markov to non-Markov models

Modeling stochastic gene expression: From Markov to non-Markov models

Gene expression is an inherently noisy process due to low copy numbers of mRNA or protein. The involved reaction events may happen in a Markov fashion but also in a non-Markov manner, depending on waiting-time distributions for the occurrence of reaction events. In recent years, many mechanistic mod...

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Bibliographic Details
Main Authors: Zhenquan Zhang, Junhao Liang, Zihao Wang, Jiajun Zhang, Tianshou Zhou
Format: Article
Language:English
Published: AIMS Press 2020-08-01
Series:Mathematical Biosciences and Engineering
Subjects:
gene model
noise
markov process
non-markov process
Online Access:https://aimspress.com/article/doi/10.3934/mbe.2020287?viewType=HTML

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https://aimspress.com/article/doi/10.3934/mbe.2020287?viewType=HTML

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