Bayesian Estimation for Stochastic Gene Expression Using Multifidelity Models-Reference-Cited by-同舟云学术

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Bayesian Estimation for Stochastic Gene Expression Using Multifidelity Models

Published:2019-02-19 Issue:10 Volume:123 Page:2217-2234
ISSN:1520-6106
Container-title:The Journal of Physical Chemistry B
language:en
Short-container-title:J. Phys. Chem. B

Author:

Vo Huy D.¹,Fox Zachary²,Baetica Ania³,Munsky Brian¹²^ORCID

Affiliation:

1. Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, Colorado 80523, United States

2. Keck Scholars, School of Biomedical Engineering, Colorado State University, Fort Collins, Colorado 80523, United States

3. Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, California 94158, United States

Funder

Division of Graduate Education

National Institute of General Medical Sciences

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,Surfaces, Coatings and Films,Physical and Theoretical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpcb.8b10946

Reference82 articles.

1. Stochastic mechanisms in gene expression

2. Stochastic Gene Expression in a Single Cell

3. Stochasticity in gene expression: from theories to phenotypes

4. Single-Cell Microbiology: Tools, Technologies, and Applications

5. Approximation and inference methods for stochastic biochemical kinetics—a tutorial review

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