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Mathematical Modeling of Biological Systems, Volume I: Cellular Biophysics, Regulatory Networks, Development, Biomedicine, and Data Analysis

Series: Modeling and Simulation in Science, Engineering and Technology Volume: 1

Edited By: A Deutsch, L Brusch, H Byrne, G de Vries and H Herzel

379 pages, 120 illus

Birkhäuser Verlag

Hardback | Jan 2007 | #165855 | ISBN-13: 9780817645571
Availability: Usually dispatched within 1-2 weeks Details
NHBS Price: £146.50 $185/€174 approx

About this book

This two-volume, interdisciplinary work is a unified presentation of a broad range of state-of-the-art topics in the rapidly growing field of mathematical modeling in the biological sciences. Highlighted throughout both works are mathematical and computational approaches to examine central problems in the life sciences, ranging from the organizational principles of individual cells to the dynamics of large populations.

Volume I covers a number of areas, including: Cellular Biophysics; Regulatory Networks; Developmental Biology; Biomedical Applications; and Data Analysis and Model Validation.

[This book] has thirty-two papers that address topics in five broad areas: cellular biophysics, regulatory networks, development, biomedical applications and data analysis...A general theme is the progression in each application area from experimental research to mathematical modeling, from there to construction of a more abstract mathematical framework and thence to new biological hypotheses. Desirable tools are efficient algorithms for complex computations and visualization, especially in the areas of molecular biology and genetics...This is a volume directed at specialists, but it is possible to find one's way to interesting results without too much specialized knowledge. The range of applications is enormous, and this is just Volume 1. Topics addressed in Volume 2 include epidemiology, immunology, evolution and ecology. --MAA Reviews


Contents

Preface.- Cellular Biophysics.- Regulatory Networks.- Development.- Biomedical Applications.- Data Analysis and Model Validation.- Index

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