This book:
This handbook will be a key resource for researchers practisingsystems biology, and those requiring a comprehensive overview ofthis important field.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
A very remarkable collection of essays. Strongly recommended to workers in this area. (International Statistical Review, 1 October 2013)
I would highly recommend this book as a useful guide for the students and practitioners of systems biology. (Science Progress, 1 September 2012)
This handbook will be a key resource for researchers practising systems biology, and those requiring a comprehensive overview of this important field. (Zentralblatt MATH, 2012)
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
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Descrizione libro Condizione: New. Codice articolo 8514919-n
Descrizione libro Condizione: New. Brand New Original US Edition.We Ship to PO BOX Address also. EXPEDITED shipping option also available for faster delivery.This item may ship from the US or other locations in India depending on your location and availability. Codice articolo ABTR-87800
Descrizione libro Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed. This item may ship from the US or our Overseas warehouse depending on your location and stock availability. We Ship to PO BOX Location also. Codice articolo ABRR-87800
Descrizione libro Condizione: New. Brand New. Codice articolo 0470710861
Descrizione libro Condizione: New. 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 ove. Codice articolo 556557774
Descrizione libro Condizione: New. Codice articolo 8514919-n
Descrizione libro Condizione: New. pp. 530. Codice articolo 264599039
Descrizione libro Condizione: New. pp. 530. Codice articolo 3248928
Descrizione libro Hardcover. Condizione: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780470710869
Descrizione libro Condizione: New. 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. Num Pages: 530 pages, Illustrations. BIC Classification: MBNS; MFN. Category: (P) Professional & Vocational. Dimension: 254 x 192 x 28. Weight in Grams: 1312. . 2011. 1st Edition. Hardcover. . . . . Codice articolo V9780470710869