Simulation Algorithms for Computational Systems Biology /
Marchetti, Luca,
Simulation Algorithms for Computational Systems Biology / by Luca Marchetti, Corrado Priami, Vo Hong Thanh. - XI, 238 pages : illustrations ; 24 cm - Texts in Theoretical Computer Science. An EATCS Series, 1862-4499 . - Texts in Theoretical Computer Science. An EATCS Series, .
Include bibliographical references.
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.
9783319631134 3319631136
10.1007/978-3-319-63113-4 doi
Computer science.
Algorithms.
Bioinformatics.
Systems biology.
Algorithms.
Bioinformatics.
Computer science.
Systems biology.
Computer Science.
Algorithm Analysis and Problem Complexity.
Computational Biology/Bioinformatics.
Systems Biology.
Electronic books.
QA76.9.A43
005.1 / M.L.S
Simulation Algorithms for Computational Systems Biology / by Luca Marchetti, Corrado Priami, Vo Hong Thanh. - XI, 238 pages : illustrations ; 24 cm - Texts in Theoretical Computer Science. An EATCS Series, 1862-4499 . - Texts in Theoretical Computer Science. An EATCS Series, .
Include bibliographical references.
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.
9783319631134 3319631136
10.1007/978-3-319-63113-4 doi
Computer science.
Algorithms.
Bioinformatics.
Systems biology.
Algorithms.
Bioinformatics.
Computer science.
Systems biology.
Computer Science.
Algorithm Analysis and Problem Complexity.
Computational Biology/Bioinformatics.
Systems Biology.
Electronic books.
QA76.9.A43
005.1 / M.L.S