Bayesian model selection framework for identifying growth patterns in filamentous fungi-Reference-Cited by-同舟云学术

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Bayesian model selection framework for identifying growth patterns in filamentous fungi

Published:2016-06 Issue: Volume:398 Page:85-95
ISSN:0022-5193
Container-title:Journal of Theoretical Biology
language:en
Short-container-title:Journal of Theoretical Biology

Author:

Lin Xiao^ORCID,Terejanu Gabriel^ORCID,Shrestha Sajan,Banerjee Sourav,Chanda Anindya^ORCID

Funder

ASPIRE Grant from the Office of the Vice President for Research at the University of South Carolina

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

Reference34 articles.

1. Bayesian updating of structural models and reliability using Markov Chain Monte Carlo simulation;Beck;J. Eng. Mech.,2002

2. The filamentous fungi;Blain,1975

3. Mathematical modelling of mycelia;Boswell;Fungal Biol. Rev.,2007

4. Modelling hyphal networks;Boswell;Fungal Biol. Rev.,2012

5. A mathematical approach to studying fungal mycelia;Boswell;Mycologist,2003

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. Inferring fungal growth rates from optical density data;PLOS Computational Biology;2024-05-16

2. Inferring fungal growth rates from optical density data;2024-03-01

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