Das, Jayajit (Ed.)
Systems Immunology: An Introduction to Modeling Methods for Scientists - Boca Raton CRC Press 2019 - xx, 334p. ill. - Foundations of Biochemistry and Biophysics .
Includes References (312-321) and Index
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. 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.
9781498717403 (HB)
Immunology -- Mathematical models
Systems Biology
Medical -- Immunology
616 / DAS
Systems Immunology: An Introduction to Modeling Methods for Scientists - Boca Raton CRC Press 2019 - xx, 334p. ill. - Foundations of Biochemistry and Biophysics .
Includes References (312-321) and Index
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. 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.
9781498717403 (HB)
Immunology -- Mathematical models
Systems Biology
Medical -- Immunology
616 / DAS