Systems biology combines computational and experimental approaches to analyze complex biological systems and focuses on understanding functional activities from a systems-wide perspective. It provides an iterative process of experimental measurements, data analysis, and computational simulation to m
A Guide to Numerical Modelling in Systems Biology
β Scribed by Peter Deuflhard, Susanna RΓΆblitz (auth.)
- Publisher
- Springer International Publishing
- Year
- 2015
- Tongue
- English
- Leaves
- 185
- Series
- Texts in Computational Science and Engineering 12
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book is intended for students of computational systems biology with only a limited background in mathematics. Typical books on systems biology merely mention algorithmic approaches, but without offering a deeper understanding. On the other hand, mathematical books are typically unreadable for computational biologists. The authors of the present book have worked hard to fill this gap. The result is not a book on systems biology, but on computational methods in systems biology. This book originated from courses taught by the authors at Freie UniversitΓ€t Berlin. The guiding idea of the courses was to convey those mathematical insights that are indispensable for systems biology, teaching the necessary mathematical prerequisites by means of many illustrative examples and without any theorems. The three chapters cover the mathematical modelling of biochemical and physiological processes, numerical simulation of the dynamics of biological networks and identification of model parameters by means of comparisons with real data. Throughout the text, the strengths and weaknesses of numerical algorithms with respect to various systems biological issues are discussed. Web addresses for downloading the corresponding software are also included.
β¦ Table of Contents
Front Matter....Pages i-x
ODE Models for Systems Biological Networks....Pages 1-32
Numerical Simulation of ODE Models....Pages 33-87
Parameter Identification in ODE Models....Pages 89-138
Back Matter....Pages 139-176
β¦ Subjects
Ordinary Differential Equations; Applications of Mathematics; Mathematical and Computational Biology; Simulation and Modeling; Numerical and Computational Physics
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