Mixture distributions in a stochastic gene expression model with delayed feedback: a WKB approximation approach

DOI10.1007/s00285-020-01512-yzbMath1447.92132OpenAlexW3037647549WikidataQ96688166 ScholiaQ96688166MaRDI QIDQ782889

Pasquale Palumbo, Abhyudai Singh, Pavol Bokes, Alessandro Borri

Publication date: 29 July 2020

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

Full work available at URL: https://doi.org/10.1007/s00285-020-01512-y

zbMATH Keywords

burstinglarge deviationsWKB approximationstochastic gene expressionexponential asymptoticsproduction delay

Mathematics Subject Classification ID

Asymptotic approximations, asymptotic expansions (steepest descent, etc.) (41A60) Biochemistry, molecular biology (92C40) Large deviations (60F10)

Related Items (5)

Exact and WKB-approximate distributions in a gene expression model with feedback in burst frequency, burst size, and protein stability ⋮ Kinetic characteristics of transcriptional bursting in a complex gene model with cyclic promoter structure ⋮ Postponing production exponentially enhances the molecular memory of a stochastic switch ⋮ Stationary and Time-Dependent Molecular Distributions in Slow-Fast Feedback Circuits ⋮ Heavy-tailed distributions in a stochastic gene autoregulation model

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