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Introduction to Modeling for Biosciences

Barnes, David J., Chu, Dominique (2010) Introduction to Modeling for Biosciences. Springer ISBN 978-1-84996-325-1. (doi:10.1007/978-1-84996-326-8) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30639)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://www.cs.kent.ac.uk/pubs/2010/3045

Abstract

In this book we seek to provide a detailed introduction to a range of modeling techniques that are appropriate for modeling in biosciences. The book is primarily intended for bioscientists, but will be equally useful for anybody wishing to start modeling in biosciences and related fields. The topics we discuss include agent-based models, stochastic modeling techniques, differential equations and Gillespie's stochastic simulation algorithm. Included in the book are practical introductions to a number of useful tools, such as the Maxima computer algebra system, the PRISM model checker, and the Repast Simphony agent modeling environment.

Item Type: Book
DOI/Identification number: 10.1007/978-1-84996-326-8
Uncontrolled keywords: determinacy analysis, Craig interpolants
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: David Barnes
Date Deposited: 21 Sep 2012 09:49 UTC
Last Modified: 09 Mar 2023 11:32 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/30639 (The current URI for this page, for reference purposes)

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