02089 a2200205 4500008004100000020002300041041000900064080001300073100002300086245007600109260003300185300002000218490004700238504004500285520143800330650003801768650002001806650002601826700003101852240522b 2019|||||||| |||| 00| 0 eng d a9781498717403 (HB) aeng a616bDAS aDas, Jayajit (Ed.) aSystems Immunology: An Introduction to Modeling Methods for Scientists bCRC Press c2019aBoca Raton axx, 334p.bill. aFoundations of Biochemistry and Biophysics aIncludes References (312-321) and Index aNew experimental techniques in immunology have produced large and complex data sets that require quantitative modeling for analysis. This book provides a complete overview of computational immunology, from basic concepts to mathematical modeling at the single molecule, cellular, organism, and population levels. It showcases modern mechanistic models and their use in making predictions, designing experiments, and elucidating underlying biochemical processes. The book begins with an introduction to data analysis, approximations, and assumptions used in model building. Core chapters address models and methods for studying immune responses, with fundamental concepts clearly introduced and defined for the non-specialist."--Provided by publisher. "New experimental techniques in immunology have produced large and complex data sets that require quantitative modeling for analysis. This book provides a complete overview of computational immunology, from basic concepts to mathematical modeling at the single molecule, cellular, organism, and population levels. It showcases modern mechanistic models and their use in making predictions, designing experiments, and elucidating underlying biochemical processes. It begins with an introduction to data analysis, approximations, and assumptions used in model building. Core chapters address models and methods for studying immune responses, with fundamental concepts clearly defined. aImmunology -- Mathematical models aSystems Biology aMedical -- Immunology aJayaprakash, Ciriyam (Ed.)