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Stochastic modelling for systems biology / Darren James Wilkinson.

LIBRA QH323.5 .W54 2006
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Format:
Book
Author/Creator:
Wilkinson, Darren James.
Contributor:
Louis A. Duhring Fund.
Series:
Chapman and Hall/CRC mathematical & computational biology series
Chapman & Hall/CRC mathematical and computational biology series
Language:
English
Subjects (All):
Biological systems--Mathematical models.
Biological systems.
Systems Biology--methods.
Kinetics.
Models, Biological.
Models, Statistical.
Stochastic Processes.
Medical Subjects:
Systems Biology--methods.
Kinetics.
Models, Biological.
Models, Statistical.
Stochastic Processes.
Physical Description:
254 pages : illustrations ; 24 cm.
Place of Publication:
Boca Raton : Taylor & Francis, 2006.
Summary:
Although stochastic kinetic models are increasingly accepted as the best way to represent and simulate genetic and biochemical networks, most researchers in the field have limited knowledge of stochastic process theory. Stochastic Modelling for Systems Biology provides an accessible introduction to this theory using examples that are familiar to systems biology researchers. Focusing on computer simulation, the author examines the use of stochastic processes for modelling biological systems. Along with the latest simulation techniques and research material, such as parameter inference, the text includes many examples and figures as well as software code in R for various applications.
Contents:
Introduction to biological modelling
Representation of biochemical networks
Probability models
Stochastic simulation
Markov processes
Chemical and biochemical kinetics
Case studies
Beyond the Gillespie algorithm
Bayesian inference and MCMC
Inference for stochastic kinetic models.
Notes:
Includes bibliographical references (pages 247-250) and index.
Local Notes:
Acquired for the Penn Libraries with assistance from the Louis A. Duhring Fund.
ISBN:
9781584885405
1584885408
OCLC:
85765359

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