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:
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.
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.
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