Implementation of a practical Markov chain Monte Carlo sampling algorithm in PyBioNetFit

Abstract Summary Bayesian inference in biological modeling commonly relies on Markov chain Monte Carlo (MCMC) sampling of a multidimensional and non-Gaussian posterior distribution that is not analytically tractable. Here, we present the implementation of a practical MCMC method in the open-source s...

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Bibliographic Details

Published in:	Bioinformatics Vol. 38; no. 6; pp. 1770 - 1772
Main Authors:	Neumann, Jacob, Lin, Yen Ting, Mallela, Abhishek, Miller, Ely F, Colvin, Joshua, Duprat, Abell T, Chen, Ye, Hlavacek, William S, Posner, Richard G
Format:	Journal Article
Language:	English
Published:	England Oxford University Press 04.03.2022
Subjects:	Algorithms Applications Notes Bayes Theorem COVID-19 Humans Markov Chains Monte Carlo Method Software
ISSN:	1367-4803, 1367-4811, 1460-2059, 1367-4811
Online Access:	Get full text
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