Modeling stochastic gene expression: from Markov to non-Markov models
type: Item
instance of: scholarly article
title: Modeling stochastic gene expression: from Markov to non-Markov models
zbMATH Open document ID: 1470.92122
author: Zhenquan Zhang
author: Junhao Liang
author: Zihao Wang
author: Tianshou Zhou
author: Jiajun Zhang
published in: Mathematical Biosciences and Engineering
publication date: 2021-08-04T00:00:00Z
Mathematics Subject Classification ID: 92C40
Mathematics Subject Classification ID: 60J28
Mathematics Subject Classification ID: 60K30
zbMATH DE Number: 7378498
zbMATH Keywords: gene model
zbMATH Keywords: noise
zbMATH Keywords: Markov process
zbMATH Keywords: non-Markov process
Wikidata QID: Q101116889
MaRDI profile type: Publication
full work available at URL: mbe.2020287
OpenAlex ID: W3048613713
cites work: Analytical results for a multistate gene model
cites work: Q3790993
cites work: Markovian modelling of gene product synthesis
cites work: Handbook of stochastic methods for physics, chemistry and the natural sciences.
cites work: Stochastic processes in physics and chemistry.
cites work: Stochastic epidemic models and their statistical analysis
cites work: Exact distributions for stochastic models of gene expression with arbitrary regulation
cites work: UNIFORM ASYMPTOTIC EXPANSIONS FOR HYPERGEOMETRIC FUNCTIONS WITH LARGE PARAMETERS III
cites work: Random walks and diffusion on networks
cites work: On the GIX/G/∞ system
cites work: A Gillespie Algorithm for Non-Markovian Stochastic Processes
cites work: The least variable phase type distribution is erlang
cites work: Markovian approaches to modeling intracellular reaction processes with molecular memory
DOI: 10.3934/MBE.2020287
description: scientific article; zbMATH DE number 7378498