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Simulation algorithms for computatio...
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Marchetti, Luca.
Simulation algorithms for computational systems biology
Record Type:
Electronic resources : Monograph/item
Title/Author:
Simulation algorithms for computational systems biologyby Luca Marchetti, Corrado Priami, Vo Hong Thanh.
Author:
Marchetti, Luca.
other author:
Priami, Corrado.
Published:
Cham :Springer International Publishing :2017.
Description:
xi, 238 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Systems biologyComputer simulation.
Online resource:
http://dx.doi.org/10.1007/978-3-319-63113-4
ISBN:
9783319631134$q(electronic bk.)
Simulation algorithms for computational systems biology
Marchetti, Luca.
Simulation algorithms for computational systems biology
[electronic resource] /by Luca Marchetti, Corrado Priami, Vo Hong Thanh. - Cham :Springer International Publishing :2017. - xi, 238 p. :ill., digital ;24 cm. - Texts in theoretical computer science,1862-4499. - Texts in theoretical computer science..
Introduction -- Deterministic Simulation Algorithms -- Stochastic Simulation Algorithms -- Hybrid Simulation Algorithms -- Reaction-Diffusion Systems -- Conclusions and Perspectives.
This book explains the state-of-the-art algorithms used to simulate biological dynamics. Each technique is theoretically introduced and applied to a set of modeling cases. Starting from basic simulation algorithms, the book also introduces more advanced techniques that support delays, diffusion in space, or that are based on hybrid simulation strategies. This is a valuable self-contained resource for graduate students and practitioners in computer science, biology and bioinformatics. An appendix covers the mathematical background, and the authors include further reading sections in each chapter.
ISBN: 9783319631134$q(electronic bk.)
Standard No.: 10.1007/978-3-319-63113-4doiSubjects--Topical Terms:
792571
Systems biology
--Computer simulation.
LC Class. No.: QH324.2
Dewey Class. No.: 570.113
Simulation algorithms for computational systems biology
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Introduction -- Deterministic Simulation Algorithms -- Stochastic Simulation Algorithms -- Hybrid Simulation Algorithms -- Reaction-Diffusion Systems -- Conclusions and Perspectives.
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This book explains the state-of-the-art algorithms used to simulate biological dynamics. Each technique is theoretically introduced and applied to a set of modeling cases. Starting from basic simulation algorithms, the book also introduces more advanced techniques that support delays, diffusion in space, or that are based on hybrid simulation strategies. This is a valuable self-contained resource for graduate students and practitioners in computer science, biology and bioinformatics. An appendix covers the mathematical background, and the authors include further reading sections in each chapter.
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EB QH324.2 M317 2017
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1 records • Pages 1 •
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http://dx.doi.org/10.1007/978-3-319-63113-4
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