Mathematical Modeling in Systems Biology: An Introduction (MIT Press)
| Author | : | |
| Rating | : | 4.39 (835 Votes) |
| Asin | : | 0262018888 |
| Format Type | : | paperback |
| Number of Pages | : | 424 Pages |
| Publish Date | : | 2016-09-07 |
| Language | : | English |
DESCRIPTION:
Ingalls is Associate Professor in the Departments of Applied Mathematics, Biology, and Chemical Engineering at the University of Waterloo, Canada. He is the coeditor of Control Theory and Systems Biology (MIT Press, 2010).. Brian P
(Diego di Bernardo, University of Naples Federico II, Italy) . I very much recommend Mathematical Modeling in Systems Biology to students in combined quantitative/life sciences courses. Brian Ingalls beautifully addresses this need in providing us with an easy-to-read textbook that can serve as the basis for undergraduate classes, graduate classes, and summer courses and workshops. (Zoltan Szallasi, Department of Systems Biology, Technical University of Denmark; and Children's Hospital Boston, Harvard Medical School)Brian Ingalls has done a great job. (Jim Collins, HHMI, Boston University and Harvard University)There is no question about Brian I
It is accessible to upper-level undergraduate or graduate students in life science or engineering who have some familiarity with calculus, and will be a useful reference for researchers at all levels.The first four chapters cover the basics of mathematical modeling in molecular systems biology. More involved end-of-chapter problem sets require computational software. Exercises, solvable with pen-and-paper calculations, appear throughout the text to encourage interaction with the mathematical techniques. Appendixes provide a review of basic concepts of molecular biology, additional mathematical background material, and tutorials for two computational software packages (XPPAUT and MATLAB) that can be used for model simulation and analysis.. Chapters 3--8 end with optional sections that address more specialized modeling topics. Systems techniques are integral to current research in molecular cell biology, and system-level investigations are often accompanied by mathematical models. These models serve as working hypotheses: they help us to understand and predict the behavior of complex systems. The last four chapters address s
"Stunning panorama" according to P. Nelson. I have read a lot of books on this subject, and this is the one I'd most recommend. I know no other book with such a wealth of important applications, so clearly and elegantly explained. This book brings the reader right up to the level of current research and shows, explicitly, how the calculations are actually done.. Five Stars it is very good.fast and excellent. Four Stars Very helpful.