Simulation and inference algorithms for stochastic biochemical reaction networks: from basic concepts to state-of-the-art

Stochasticity is a key characteristic of intracellular processes such as gene regulation and chemical signalling. Therefore, characterizing stochastic effects in biochemical systems is essential to understand the complex dynamics of living things. Mathematical idealizations of biochemically reacting...

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Bibliographic Details

Published in:	Journal of the Royal Society interface Vol. 16; no. 151; p. 20180943
Main Authors:	Warne, David J, Baker, Ruth E, Simpson, Matthew J
Format:	Journal Article
Language:	English
Published:	England 01.02.2019
Subjects:	Algorithms Models, Biological Signal Transduction Stochastic Processes Systems Biology stochastic simulation Monte Carlo Bayesian inference biochemical reaction networks approximate Bayesian computation
ISSN:	1742-5662, 1742-5662
Online Access:	Get more information
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