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Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology (Woodhead Publishing Series in Biomedicine) - Hardcover
Stochastic kinetic methods are currently considered to be the most realistic and elegant means of representing and simulating the dynamics of biochemical and biological networks. Deterministic versus stochastic modelling in biochemistry and systems biology introduces and critically reviews the deterministic and stochastic foundations of biochemical kinetics, covering applied stochastic process theory for application in the field of modelling and simulation of biological processes at the molecular scale. Following an overview of deterministic chemical kinetics and the stochastic approach to biochemical kinetics, the book goes onto discuss the specifics of stochastic simulation algorithms, modelling in systems biology and the structure of biochemical models. Later chapters cover reaction-diffusion systems, and provide an analysis of the Kinfer and BlenX software systems. The final chapter looks at simulation of ecodynamics and food web dynamics.
- Introduces mathematical concepts and formalisms of deterministic and stochastic modelling through clear and simple examples
- Presents recently developed discrete stochastic formalisms for modelling biological systems and processes
- Describes and applies stochastic simulation algorithms to implement a stochastic formulation of biochemical and biological kinetics
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About the Author:
Paola Lecca is a researcher at The Microsoft Research, University of Trento, Centre for Computational and Systems Biology, Italy. Her principal research interests include biochemical system identification and model calibration, stochastic chemical kinetics and reaction-diffusion system.
Ian J. Laurenzi is a Senior Researcher at ExxonMobil. He is an expert in the areas of stochastic processes, statistics, computational biology and receptor-mediated adhesion of human blood platelets, and has investigated the genome-level dynamics of gene networks and the effect of sex upon mammalian gene expression.
Ian J. Laurenzi is a Senior Researcher at ExxonMobil. He is an expert in the areas of stochastic processes, statistics, computational biology and receptor-mediated adhesion of human blood platelets, and has investigated the genome-level dynamics of gene networks and the effect of sex upon mammalian gene expression.
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- PublisherWoodhead Publishing
- Publication date2013
- ISBN 10 190756862X
- ISBN 13 9781907568626
- BindingHardcover
- Edition number1
- Number of pages390
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Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology
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Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology (Woodhead Publishing Series in Biomedicine)
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Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology
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Book Description Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Stochastic kinetic methods are currently considered to be the most realistic and elegant means of representing and simulating the dynamics of biochemical and biological networks. Deterministic versus stochastic modelling in biochemistry and systems biology introduces and critically reviews the deterministic and stochastic foundations of biochemical kinetics, covering applied stochastic process theory for application in the field of modelling and simulation of biological processes at the molecular scale. Following an overview of deterministic chemical kinetics and the stochastic approach to biochemical kinetics, the book goes onto discuss the specifics of stochastic simulation algorithms, modelling in systems biology and the structure of biochemical models. Later chapters cover reaction-diffusion systems, and provide an analysis of the Kinfer and BlenX software systems. The final chapter looks at simulation of ecodynamics and food web dynamics. Englisch. Seller Inventory # 9781907568626
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Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology
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Book Description Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Deterministic versus stochastic modelling in biochemistry and systems biology introduces and critically reviews the deterministic and the stochastic foundations of biochemical kinetics.Stochastic kinetic methods are currently considered to be the most r. Seller Inventory # 597162688
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Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology (Woodhead Publishing Series in Biomedicine)
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Book Description Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Stochastic kinetic methods are currently considered to be the most realistic and elegant means of representing and simulating the dynamics of biochemical and biological networks. Deterministic versus stochastic modelling in biochemistry and systems biology introduces and critically reviews the deterministic and stochastic foundations of biochemical kinetics, covering applied stochastic process theory for application in the field of modelling and simulation of biological processes at the molecular scale. Following an overview of deterministic chemical kinetics and the stochastic approach to biochemical kinetics, the book goes onto discuss the specifics of stochastic simulation algorithms, modelling in systems biology and the structure of biochemical models. Later chapters cover reaction-diffusion systems, and provide an analysis of the Kinfer and BlenX software systems. The final chapter looks at simulation of ecodynamics and food web dynamics. Seller Inventory # 9781907568626
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