Handbook of Statistical Systems Biology - Couverture rigide

Stumpf, Michael; Balding, David J.; Girolami, Mark

 
9780470710869: Handbook of Statistical Systems Biology
Couverture rigide
ISBN 10 : 0470710861 ISBN 13 : 9780470710869
Editeur : John Wiley & Sons Inc, 2011

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Michael Stumpf, Theoretical Systems Biology at Imperial College London

David Balding, Statistical Genetics in the Institute of Genetics at University College London

Mark Girolami, Department of Computing Science and the Department of Statistics

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
John Wiley & Sons Inc
Date d'édition
2011
Langue
anglais
ISBN 10 
0470710861
ISBN 13 
9780470710869
Reliure
Relié
Nombre de pages
530
Coordonnées du fabricant
non disponible
Personne responsable
non disponible