£173.54

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£174 today · all-time low £171 (Aug 2026) · usually £174

Springer Mathematical, Computational and Experimental T Cell Immunology

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Description
Mathematical, statistical, and computational methods enable multi-disciplinary approaches that catalyse discovery. Together with experimental methods, they identify key hypotheses, define measurable observables and reconcile disparate results. This volume collects a representative sample of studies in T cell immunology that illustrate the benefits of modelling-experimental collaborations and which have proven valuable or even ground-breaking. Studies include thymic selection, T cell repertoire diversity, T cell homeostasis in health and disease, T cell-mediated immune responses, T cell memory, T cell signalling and analysis of flow cytometry data sets. Contributing authors are leading scientists in the area of experimental, computational, and mathematical immunology. Each chapter includes state-of-the-art and pedagogical content, making this book accessible to readers with limited experience in T cell immunology and/or mathematical and computational modelling. From the Back Cover The purpose of this book is to present current mathematical  and computational models that are used to describe and characterise the immunology of T cells. The reader will be exposed to a variety of tools/methods that go hand-in-hand with the T cell-mediated immunological process that is being modelled. We aim in the proposed book  to emphasise the role that mathematical (or computational) modelling has already played in Immunology. Each chapter will provide an example of the contribution of mathematics to T cell immunology under one of the following four headings: i) Generation of hypotheses, ii) Quantification of immunological processes, iii) Definition of observables to measure given an experimental objective, iv) reconciling disparate (or even conflicting) experimental results.  About the Author Grant Lythe and Carmen Molina-París are Professors of Applied Mathematics at the University of Leeds. They have coordinated the FP7 Initial Training Network on Quantitative T cell Immunology (2013-2017) and they currently coordinate the H2020 Innovative Training Network on Quantitative T cell Immunology and Immunotherapy (2018-2022).

Product Specifications
Brand
Springer
Format
paperback
ASIN
3030572064
Category
Books > Subjects > Computing & Internet > Computer Science
Domain
Amazon UK
Release Date
06 January 2022
Listed Since
09 December 2021

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