9780262018883-0262018888-Mathematical Modeling in Systems Biology: An Introduction

Mathematical Modeling in Systems Biology: An Introduction

ISBN-13: 9780262018883
ISBN-10: 0262018888
Edition: 1
Author: Brian P Ingalls
Publication date: 2013
Publisher: The MIT Press
Format: Hardcover 408 pages
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Book details

ISBN-13: 9780262018883
ISBN-10: 0262018888
Edition: 1
Author: Brian P Ingalls
Publication date: 2013
Publisher: The MIT Press
Format: Hardcover 408 pages

Summary

Mathematical Modeling in Systems Biology: An Introduction (ISBN-13: 9780262018883 and ISBN-10: 0262018888), written by authors Brian P Ingalls, was published by The MIT Press in 2013. With an overall rating of 3.5 stars, it's a notable title among other Biology (Molecular Chemistry, Chemistry, Biological Sciences) books. You can easily purchase or rent Mathematical Modeling in Systems Biology: An Introduction (Hardcover, Used) from BooksRun, along with many other new and used Biology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $2.01.

Description

An introduction to the mathematical concepts and techniques needed for the construction and analysis of models in molecular systems biology.

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. This book offers an introduction to mathematical concepts and techniques needed for the construction and interpretation of models in molecular systems biology. 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. The last four chapters address specific biological domains, treating modeling of metabolic networks, of signal transduction pathways, of gene regulatory networks, and of electrophysiology and neuronal action potentials. Chapters 3–8 end with optional sections that address more specialized modeling topics. Exercises, solvable with pen-and-paper calculations, appear throughout the text to encourage interaction with the mathematical techniques. More involved end-of-chapter problem sets require computational software. 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.

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