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Systems Immunology: An Introduction to Modeling Methods for Scientists

Systems Immunology: An Introduction to Modeling Methods for Scientists

Autorzy
Wydawnictwo Taylor & Francis Inc
Data wydania 06/09/2018
Liczba stron 354
Forma publikacji książka w twardej oprawie
Poziom zaawansowania Dla szkół wyższych i kształcenia podyplomowego
Język angielski
ISBN 9781498717403
Kategorie Immunologia, Biologia
1 199.10 PLN (z VAT)
$269.73 / €257.09 / £223.18 /
Produkt na zamówienie
Dostawa 5-6 tygodni
Ilość
Do schowka

Opis książki

"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.

Systems Immunology: An Introduction to Modeling Methods for Scientists

Spis treści

1 Introduction to basic concepts in immunology





Roxana Khazen and Salvatore Valitutti





2 Overview of mechanistic modeling: Techniques, approximations, and assumptions





Steven M. Abel





3 The fundamentals of statistical data analysis





William C. L. Stewart





4 Using data to guide model construction: Application of principal component analysis





and related methods in immunology research





Kathryn Miller-Jensen





5 An introduction to rule-based modeling of immune receptor signaling





John A.P. Sekar and James R. Faeder





6 Boolean models in immunology





Reinhard Laubenbacher and Elena Dimitrova





7 From evolutionary computation to phenotypic spandrels: Inverse problem for immune





ligand recognition





Paul Francois and Mathieu Hemery





8 Zen and the art of parameter estimation in systems biology





Christopher R. Myers





9 Spatial kinetics in immunological modeling





Daniel Coombs and Byron Goldstein





10 Analysis and modeling of single cell data





Derya Altintan, Jascha Diemer, and Heinz Koeppl





11 Quantifying lymphocyte receptor diversity





Thierry Mora and Aleksandra M. Walczak





12 Antigen receptor diversification during immune responses





Miri Michaeli and Ramit Mehr





13 Quantitative modeling of mast cell signaling





Lily A. Chylek, David A. Holowka, Barbara A. Baird, and William S. Hlavacek





14 Physical models in immune signaling





Jayajit Das





15 Modeling and inference of cell population dynamics





Michael Flossdorf and Thomas Hoefer





16 Population dynamics of host and pathogens





Amber M. Smith, Ruy M. Ribeiro, and Alan S. Perelson





17 Viral fitness landscapes: A physical sciences perspective





Gregory R. Hart and Andrew L. Ferguson





18 A wish-list for modeling immunological synapses





Michael L. Dustin

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