Stationary moments, distribution conjugation and phenotypic regions in stochastic gene transcription-Reference-Cited by-同舟云学术

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Stationary moments, distribution conjugation and phenotypic regions in stochastic gene transcription

Published:2019 Issue:5 Volume:16 Page:6134-6166
ISSN:1551-0018
Container-title:Mathematical Biosciences and Engineering
language:en
Short-container-title:

Author:

Zhang Jiajun, ,Zhou Tianshou,

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modelling and Simulation,General Medicine

Reference11 articles.

1. J. R. Chubb and T. B. Liverpool, Bursts and

2. K. Miller-Jensen, S. S. Dey, D. V. Schaffer, et al., Varying

3. T. J. Stasevich and J. G. McNally, Assembly of the transcription

4. J. M. G. Vilar and L. Saiz,

5. L. Bintu, N. E. Buchler, H. G. Garcia, et al., Transcriptional regulation by the

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1. Analysis of a detailed multi-stage model of stochastic gene expression using queueing theory and model reduction;Mathematical Biosciences;2024-07

2. Inferring transcriptional bursting kinetics from single-cell snapshot data using a generalized telegraph model;Royal Society Open Science;2023-04

3. Silent transcription intervals and translational bursting lead to diverse phenotypic switching;2022-08-06

4. Inferring transcriptional bursting kinetics from single-cell snapshot data using a generalized telegraph model;2022-07-18

5. Exact distributions for stochastic gene expression models with arbitrary promoter architecture and translational bursting;Physical Review E;2022-01-06

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