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Can I read Stochastic Modelling for Systems Biology, Third Edition (Chapman & Hall/CRC Computational Biology Series) on EtoBox?

Stochastic Modelling for Systems Biology, Third Edition (Chapman & Hall/CRC Computational Biology Series) by Darren James Wilkinson is a nonfiction available to read on EtoBox.

What is Stochastic Modelling for Systems Biology, Third Edition (Chapman & Hall/CRC Computational Biology Series) about?

Since the first edition of Stochastic Modelling for Systems Biology , there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Having been thoroughly updated to reflect this, this third edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. New methods and applications are included in the book, and the use of R for practical illustration of the algorithms has been greatly extended. There is a brand new chapter on spatially extended systems, and the statistical inference chapter has also been extended with new methods, including approximate Bayesian computation (ABC). Stochastic Modelling for Systems Biology, Third Edition is now supplemented by an additional software library, written in Scala, described in a new appendix to the book. New in the Third Edition New chapter on spatially extended systems, covering the spatial Gillespie algorithm for reaction diffusion master equation models in 1- and 2-d, along with fast approximations based on the spatial chemical Langevin equation Significantly expanded chapter on

Who reads Stochastic Modelling for Systems Biology, Third Edition (Chapman & Hall/CRC Computational Biology Series)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Darren James Wilkinson
Publisher
CRC Press
Published
2018
Language
EN
ISBN
9781138549289
Category
nonfiction
Subjects
Science, Technology, Mathematics

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