An efficient and assumption-free method to approximate protein level distribution in the two-states gene expression model

DOI10.1016/J.JTBI.2017.08.019zbMath1393.92015OpenAlexW2748298977WikidataQ47713158 ScholiaQ47713158MaRDI QIDQ1748997

Bingxiang Xu, Hao Ge, Zhi Hua Zhang

Publication date: 15 May 2018

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2017.08.019

zbMATH Keywords

gene expression regulationintrinsic gene expression dynamicsmoment based density approximation

Mathematics Subject Classification ID

Applications of stochastic analysis (to PDEs, etc.) (60H30) Biochemistry, molecular biology (92C40)

Cites Work

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• Markovian modelling of gene product synthesis
• Diversity in times of adversity: probabilistic strategies in microbial survival games
• Using Gene Expression Noise to Understand Gene Regulation
• Computational treatment of polyreaction kinetics by orthogonal polynomials of a discrete variable

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