SMfSB / 3rd edition
Stochastic Modelling for Systems Biology, third edition
This page relates to the third edition of the book, Stochastic Modelling for Systems Biology, published by Chapman & Hall/CRC, November 2018.
The book has ISBN-10 113854928-2 and ISBN-13 978-113854928-9. It can be ordered from CRC Press, Amazon.com, Amazon.co.uk and similar book sellers.
New in the third edition
- New chapter on spatially extended systems, covering the spatial Gillespie algorithm for reaction diffusion master equation (RDME) models in 1- and 2-d, the next subvolume method, spatial CLE, scaling issues, etc.
- Significantly expanded chapter on inference for stochastic kinetic models from data, covering approximate methods of inference (ABC), including ABC-SMC. The material relating to particle MCMC has also been improved and extended.
- Updated R package, including code relating to all of the new material
- New R package for parsing SBML models into simulatable stochastic Petri net models
- New software library, written in Scala, replicating most of the functionality of the R packages in a fast, compiled, strongly typed, functional language
Resources relating to this book can be obtained from the associated smfsb GitHub repository.
