Estimating mutation rates in a Markov branching process using approximate Bayesian computation-Reference-Cited by-同舟云学术

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Estimating mutation rates in a Markov branching process using approximate Bayesian computation

Published:2023-05 Issue: Volume:565 Page:111467
ISSN:0022-5193
Container-title:Journal of Theoretical Biology
language:en
Short-container-title:Journal of Theoretical Biology

Author:

Lu Ruijin^ORCID,Zhu Hongxiao^ORCID,Wu Xiaowei^ORCID

Publisher

Elsevier BV

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine,Statistics and Probability

Reference38 articles.

1. A novel approach for choosing summary statistics in approximate Bayesian computation;Aeschbacher;Genetics,2012

2. Bayesian procedures for the estimation of mutation rates from fluctuation experiments;Asteris;Genetics,1996

3. An Introduction to Stochastic Processes with Special Reference to Methods and Applications;Bartlett,1978

4. Approximate Bayesian computation in evolution and ecology;Beaumont;Annu. Rev. Ecol. Evol. Syst.,2010

5. On age-dependent binary branching processes;Bellman;Ann. Mat.,1952

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identification and characterization of ATM founder mutation in BRCA-negative breast cancer patients of Arab ethnicity;Scientific Reports;2023-11-27

2. SimuBP: A Simulator of Population Dynamics and Mutations Based on Branching Processes;Axioms;2023-01-18

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