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Stochastic modelling for systems biology
Title statement Stochastic modelling for systems biology / Darren J. Wilkinson Personal name Wilkinson, Darren James (author) Edition statement Second edition Publication Boca Raton : CRC Press/Taylor & Francis Group, [2012] Copyright notice date ©2012 Phys.des. 1 online zdroj (xxvii, 330 stran) : ilustrace ISBN 9781439837764 (online) 1439837767 (online) Edition Chapman & Hall/CRC mathematical and computational biology series Note "A Chapman & Hall Book." Internal Bibliographies/Indexes Note Obsahuje bibliografické odkazy a rejstřík Contents I. Modelling and networks. Introduction to biological modelling -- Representation of biochemical networks -- II. Stochastic processes and simulation. Probability models -- Stochastic simulation -- Markov processes -- III. Stochastic chemical kinetics. Chemical and biochemical kinetics -- Case studies -- Beyond the Gillespie algorithm -- IV. Bayesian inference. Bayesian inference and MCMC -- Inference for stochastic kinetic models -- Conclusions. Notes to Availability Přístup pouze pro oprávněné uživatele Note Způsob přístupu: World Wide Web Defekty eBooks on EBSCOhost Související tištěná kniha Subj. Headings biologické systémy biological systems * biotechnologie biotechnology * matematické modely mathematical models * kinetika kinetics * stochastické procesy stochastic processes Form, Genre elektronické knihy electronic books Conspect 57 - Obecná biologie UDC 57.01/.05 , 519.673 , 60 , 519.216 , (0.034.2:08) Country Florika Language angličtina Document kind Electronic sources URL http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=403480 
book
"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. Re-written to reflect this modern perspective, this second edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. Keeping with the spirit of the first edition, all of the new theory is presented in a very informal and intuitive manner, keeping the text as accessible as possible to the widest possible readership"--Provided by publisher.
I. Modelling and networks. Introduction to biological modelling -- Representation of biochemical networks -- II. Stochastic processes and simulation. Probability models -- Stochastic simulation -- Markov processes -- III. Stochastic chemical kinetics. Chemical and biochemical kinetics -- Case studies -- Beyond the Gillespie algorithm -- IV. Bayesian inference. Bayesian inference and MCMC -- Inference for stochastic kinetic models -- Conclusions.
Number of the records: 1