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Handbook of Statistical Systems Biology

Systems Biology is moving away from the mathematical modeling and subsequent analysis of systems to a full statistical analysis and probabilistic reasoning over the inferences that can be made from these modeling exercises. There is a need for a comprehensive handbook covering the major themes in th...

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Bibliographic Details
Main Author: Michael P. H. Stumpf [ editor ]
Other Authors: D J Balding; Mark Girolami
Format: Printed Book
Published: Chichester, West Sussex ; Hoboken, N.J. John Wiley & Sons 2011
Subjects:
Description
Summary:Systems Biology is moving away from the mathematical modeling and subsequent analysis of systems to a full statistical analysis and probabilistic reasoning over the inferences that can be made from these modeling exercises. There is a need for a comprehensive handbook covering the major themes in the area. This book provides a full and detailed treatment of important and emerging fields of statistical systems biology, with focus on characterising uncertainty and stochastic effects in mathematical models of biological systems. Provides a full and detailed treatment to statistical systems biology.Written by leading experts in the field.Introduces statistical methods for complex systems and Bayesianmethodology for systems biology.Covers networks and graphical modeling as well as a wide range ofStatistical models and Dynamical systems.Discusses various applications for statistical systems biology, such asGene regulation, and pharmacodynamics.Features statistical data analysis on numerous technologies, includingmetabolic and proteomic technologies.
Physical Description:xxi, 508 pages : illustrations (some color) ; 26 cm
ISBN:9780470710869