{"product_id":"9780470710869","title":"Handbook of Statistical Systems Biology","description":"\u003ch1\u003eHandbook of Statistical Systems Biology\u003c\/h1\u003e\u003ch3\u003eMichael Stumpf | David J. Balding | Mark Girolami\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eScience \/ Life Sciences \/ Genetics \u0026amp; Genomics\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003eSystems 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.  \u003cp\u003eThis book:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eProvides a comprehensive account of inference techniques in systems biology.\u003c\/li\u003e \u003cli\u003eIntroduces classical and Bayesian statistical methods for complex systems.\u003c\/li\u003e \u003cli\u003eExplores networks and graphical modeling as well as a wide range of statistical models for dynamical systems.\u003c\/li\u003e \u003cli\u003eDiscusses various applications for statistical systems biology, such as gene regulation and signal transduction.\u003c\/li\u003e \u003cli\u003eFeatures statistical data analysis on numerous technologies, including metabolic and transcriptomic technologies.\u003c\/li\u003e \u003cli\u003ePresents an in-depth presentation of reverse engineering approaches.\u003c\/li\u003e \u003cli\u003eProvides colour illustrations to explain key concepts.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThis handbook will be a key resource for researchers practising systems biology, and those requiring a comprehensive overview of this important field.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e \u003cp\u003e\u003cb\u003eMichael Stumpf\u003c\/b\u003e, Theoretical Systems Biology at Imperial College London\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDavid Balding\u003c\/b\u003e, Statistical Genetics in the Institute of Genetics at University College London\u003c\/p\u003e \u003cp\u003e\u003cb\u003eMark Girolami\u003c\/b\u003e, Department of Computing Science and the Department of Statistics\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e24 October 2011\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780470710869\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e530\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e45.76\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44378451476620,"sku":"9780470710869","price":213.26,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780470710869_a14b2785-1e2d-4bec-b0e0-be3f6983c70d.jpg?v=1780240172","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9780470710869","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}