000			02161 a2200241 4500
008			240522b 2019|||||||| |||| 00| 0 eng d
020			_a9781498717403 (HB)
041			_aeng
080			_a616 _bDAS
100			_aDas, Jayajit (Ed.)
245			_aSystems Immunology: An Introduction to Modeling Methods for Scientists
260			_bCRC Press _c2019 _aBoca Raton
300			_axx, 334p. _bill.
490			_aFoundations of Biochemistry and Biophysics
504			_aIncludes References (312-321) and Index
520			_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.
650			_aImmunology -- Mathematical models
650			_aSystems Biology
650			_aMedical -- Immunology
690			_aGeneral
700			_aJayaprakash, Ciriyam (Ed.)
942			_cBK
999			_c60329 _d60329