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Systems Immunology An Introduction To Modeling Methods For Scientists 1st Edition Jayajit Das

  • SKU: BELL-7396708
Systems Immunology An Introduction To Modeling Methods For Scientists 1st Edition Jayajit Das
$ 31.00 $ 45.00 (-31%)

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Systems Immunology An Introduction To Modeling Methods For Scientists 1st Edition Jayajit Das instant download after payment.

Publisher: CRC Press
File Extension: PDF
File size: 20.1 MB
Pages: 354
Author: Jayajit Das, Ciriyam Jayaprakash
ISBN: 9781498717403, 1498717403
Language: English
Year: 2018
Edition: 1

Product desciption

Systems Immunology An Introduction To Modeling Methods For Scientists 1st Edition Jayajit Das by Jayajit Das, Ciriyam Jayaprakash 9781498717403, 1498717403 instant download after payment.

"Taken together, the body of information contained in this book provides readers with a bird’s-eye view of different aspects of exciting work at the convergence of disciplines that will ultimately lead to a future where we understand how immunity is regulated, and how we can harness this knowledge toward practical ends that reduce human suffering. I commend the editors for putting this volume together."
– Arup K. Chakraborty, Robert T. Haslam Professor of Chemical Engineering, and Professor of Physics, Chemistry, and Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA
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.
Readers from immunology, quantitative biology, and applied physics will benefit from the following:
• Fundamental principles of computational immunology and modern quantitative methods for studying immune response at the single molecule, cellular, organism, and population levels.
• An overview of basic concepts in modeling and data analysis.
• Coverage of topics where mechanistic modeling has contributed substantially to current understanding.
• Discussion of genetic diversity of the immune system, cell signaling in the immune system, immune response at the cell population scale, and ecology of host-pathogen interactions.

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