{"product_id":"systems-biology-isbn-9783527336364","title":"Systems Biology","description":"\u003cp\u003eThis advanced textbook is tailored for an introductory course in Systems Biology and is well-suited for biologists as well as engineers and computer scientists.\u003c\/p\u003e  \u003cp\u003eIt comes with student-friendly reading lists and a companion website featuring a short exam prep version of the book and educational modeling programs. The text is written in an easily accessible style and includes numerous worked examples and study questions in each chapter. For this edition, a section on medical systems biology has been included.\u003c\/p\u003e\"Systems Biology\" hat sich in der Neuauflage zu einem großformatigen Lehrbuch mit einem in vielen Punkten verbesserten Layout und professionellen Illustrationen entwickelt. Die Website enthält sämtliche Abbildungen sowie eine Buchzusammenfassung für die Examensvorbereitung. Hinzugekommen ist auch ein Abschnitt zur medizinischen Systembiologie. INTRODUCTION TO SYSTEM BIOLOGY\u003cbr\u003e Introduction\u003cbr\u003e Modeling of Biochemical Systems\u003cbr\u003e Structural Modeling and Analysis of Biochemical Networks\u003cbr\u003e Kinetic Models of Biochemical Networks Introduction\u003cbr\u003e Data Formats, Simulation Techniques, and Modeling Tools\u003cbr\u003e Model Fitting, Reduction, and Coupling\u003cbr\u003e Discrete, Stochastic, and Spatial Models\u003cbr\u003e Network Structures, Dynamics and Function\u003cbr\u003e Gene Expression Models\u003cbr\u003e Variability, Robustness, and Information\u003cbr\u003e Evolution and Optimality\u003cbr\u003e Models of Biochemical Systems \u003cbr\u003e \u003cbr\u003e REFERENCE SECTION\u003cbr\u003e Cell Biology \u003cbr\u003e Experimental Techniques  \u003cbr\u003e Mathematical and Physical Concepts\u003cbr\u003e Databases \u003cbr\u003e Software Tools for Modeling\u003cbr\u003e Edda Klipp (born 1965) studied theoretical biophysics at the Humboldt University Berlin. A member of the Yeast Systems Biology Network, her research interests include mathematical modeling of cellular systems, signal transduction, systems biology, and text mining. \u003cbr\u003e \u003cbr\u003e Wolfram Liebermeister (born 1972) studied physics in Tubingen and Hamburg and obtained a PhD of theoretical biophysics at the Humboldt University of Berlin. In his works on complex biological systems, he points out functional aspects like variability, information, and optimality.\u003cbr\u003e \u003cbr\u003e Christoph Wierling (born 1973) studied biology at the University of Munster and recently obtained a PhD degree on the modeling and simulation of biological systems.\u003cbr\u003e \u003cbr\u003e Axel Kowald (born 1963) holds a PhD in mathematical biology from the National Institute for Medical Research, London. His current research interests focus on the mathematical modeling of processes involved in the biology of aging and systems biology.","brand":"Wiley-Blackwell","offers":[{"title":"Default Title","offer_id":47990125854949,"sku":"NP9783527336364","price":78.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9783527336364.jpg?v=1761786612","url":"https:\/\/k12savings.com\/products\/systems-biology-isbn-9783527336364","provider":"K12savings","version":"1.0","type":"link"}