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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Vydané v:	Journal of the Royal Society interface Ročník 16; číslo 151; s. 20180943
Hlavní autori:	Warne, David J, Baker, Ruth E, Simpson, Matthew J
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England 01.02.2019
Predmet:	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
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