Stochastic simulation algorithms for computational systems biology: Exact, approximate, and hybrid methods-Reference-Cited by-同舟云学术

Stochastic simulation algorithms for computational systems biology: Exact, approximate, and hybrid methods

Published:2019-07 Issue:6 Volume:11 Page:
ISSN:1939-5094
Container-title:WIREs Systems Biology and Medicine
language:en
Short-container-title:WIREs Syst Biol Med

Author:

Simoni Giulia¹,Reali Federico¹^ORCID,Priami Corrado¹²,Marchetti Luca¹^ORCID

Affiliation:

1. The Microsoft Research—University of Trento Centre for Computational and Systems Biology (COSBI) Rovereto TN Italy

2. Department of Computer Science University of Pisa Pisa Italy

Publisher

Wiley

Subject

Biochemistry, Genetics and Molecular Biology (miscellaneous),Medicine (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/wsbm.1459

Reference93 articles.

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3. Implicit Second Order Weak Taylor Tau-Leaping Methods for the Stochastic Simulation of Chemical Kinetics

4. Adaptive simulation of hybrid stochastic and deterministic models for biochemical systems

5. Simulation and validation of modelled sphingolipid metabolism in Saccharomyces cerevisiae

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