Handbook of Statistical Systems Biology

Michael Stumpf

• 09 september 2011
• 9781119952046

Samenvatting:

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.br/br/This book:bulletlistbulletProvides a comprehensive account of inference techniques in systems biology.bulletIntroduces classical and Bayesian statistical methods for complex systems.bulletExplores networks and graphical modeling as well as a wide range of statistical models for dynamical systems.bulletDiscusses various applications for statistical systems biology, such as gene regulation and signal transduction.bulletFeatures statistical data analysis on numerous technologies, including metabolic and transcriptomic technologies.bulletPresents an in-depth presentation of reverse engineering approaches.bulletProvides colour illustrations to explain key concepts./bulletlistbr/br/This handbook will be a key resource for researchers practising systems biology, and those requiring a comprehensive overview of this important field.