Overview
- This book contains a description of the most commonly used ODE models used in the study of biochemical processes
- The main chemical laws used are well explained
- The contents of Chapters two and three are written in a good readable way, and probably is not easy to find all of them in a single volume
- Chapter six containing the most classical models of ions pumps and channels is of interest for a wide audience
- Includes supplementary material: sn.pub/extras
Part of the book series: MS&A (MS&A, volume 6)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (10 chapters)
Keywords
About this book
Reviews
From the reviews:
“This book addresses the modeling, simulation, analysis and control of biochemical processes of systems arising in cellular biology. … The book is very well written in an-easy way to grasp the essential elements of the various topics. Further, the book provides the necessary introductory material on control systems and MATLAB useful for those with background in cellular biology only. This book is a welcome addition to this growing interdisciplinary field … .” (D. Subbaram Naidu, Amazon.com, November, 2013)
“The book under review compiles and presents essential knowledge in modeling, analysis, simulation and parameter estimation of biological cellular control systems. … Although interested mathematicians and biologists are the targeted audience, the best background that one needs to be able to follow the book easily is probably (bio)chemical or process engineering. … the book is quite self-contained and highly recommended as course material in the field ofmodeling and control of cellular mechanisms.” (Gábor Szederkényi, Mathematical Reviews, May, 2013)Authors and Affiliations
Bibliographic Information
Book Title: Introduction to Modeling Biological Cellular Control Systems
Authors: Weijiu Liu
Series Title: MS&A
DOI: https://doi.org/10.1007/978-88-470-2490-8
Publisher: Springer Milano
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Italia Srl. 2012
Hardcover ISBN: 978-88-470-2489-2Published: 13 December 2011
Softcover ISBN: 978-88-470-5636-7Published: 02 March 2014
eBook ISBN: 978-88-470-2490-8Published: 26 April 2012
Series ISSN: 2037-5255
Series E-ISSN: 2037-5263
Edition Number: 1
Number of Pages: XII, 272
Topics: Mathematical and Computational Biology, Systems Biology, Math. Applications in Chemistry, Systems Theory, Control, Ordinary Differential Equations, Cell Biology