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Systems Biology is now entering a mature phase in which the key issues are characterising uncertainty and stochastic effects in mathematical models of biological systems. The area is moving towards a full statistical analysis and probabilistic reasoning over the inferences that can be made from mathematical models. This handbook presents a comprehensive guide to the discipline for practitioners and educators, in providing a full and detailed treatment of these important and emerging subjects. Leading experts in systems biology and statistics have come together to provide insight in to the major ideas in the field, and in particular methods of specifying and fitting models, and estimating the unknown parameters.

This book:

  • Provides a comprehensive account of inference techniques in systems biology.
  • Introduces classical and Bayesian statistical methods for complex systems.
  • Explores networks and graphical modeling as well as a wide range of statistical models for dynamical systems.
  • Discusses various applications for statistical systems biology, such as gene regulation and signal transduction.
  • Features statistical data analysis on numerous technologies, including metabolic and transcriptomic technologies.
  • Presents an in-depth presentation of reverse engineering approaches.
  • Provides colour illustrations to explain key concepts.

This handbook will be a key resource for researchers practising systems biology, and those requiring a comprehensive overview of this important field.

Détails
Auteur
David J.  Balding , Mark  Girolami , Michael  Stumpf
Marque
Wiley
Collection
n.c
Parution
2011-09-09
Pages
530 pages
EAN papier
9780470710869
Langue
Anglais
Informations ebook
EAN PDF
9781119970613
Prix
185,63 €
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Nb pages copiables 0
Nb pages imprimables 536
Taille du fichier 15718 Ko
Ce livre est accessible aux handicaps   Informations sur l'accessibilité
EAN EPUB
9781119952046
Prix
185,63 €
En savoir plus
Nb pages copiables 0
Nb pages imprimables 530
Taille du fichier 10025 Ko
Ce livre est accessible aux handicaps   Informations sur l'accessibilité
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