Stochastic modelling for systems biology

By:

Wilkinson, Darren J

Material type: Text

TextPublication details: Boca Raton CRC Press(Taylor & Francis Group) 2019Edition: 3rd edDescription: xix, 3-384 pISBN:

9780367656935 (pbk.)

Subject(s):

DDC classification:

572.8 WIK

Summary: 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.

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Item type	Current library	Collection	Call number	Status	Date due	Barcode
Book	Plaksha University Library	Biology	572.8 WIK (Browse shelf(Opens below))	Available		004556

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https://www.routledge.com/Stochastic-Modelling-for-Systems-Biology-Third-Edition/Wilkinson/p/book/9780367656935

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.

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