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Simulation algorithms for computatio...

Thanh, Vo Hong.

Simulation algorithms for computational systems biology

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Simulation algorithms for computational systems biology/ by Luca Marchetti, Corrado Priami, Vo Hong Thanh.
作者:	Marchetti, Luca.
其他作者:	Priami, Corrado.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xi, 238 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Systems biology - Computer simulation. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-63113-4
ISBN:	9783319631134

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

Standard No.: 10.1007/978-3-319-63113-4doiSubjects--Topical Terms:

1200861
Systems biology
--Computer simulation.

LC Class. No.: QH324.2

Dewey Class. No.: 570.113

Simulation algorithms for computational systems biology
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490 1 $a Texts in theoretical computer science, $x 1862-4499
505 0 $a Introduction -- Deterministic Simulation Algorithms -- Stochastic Simulation Algorithms -- Hybrid Simulation Algorithms -- Reaction-Diffusion Systems -- Conclusions and Perspectives.
520 $a 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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