Overview
Features pedagogical content for readers with limited experience in T cell immunology and/or mathematical and computational modelling
Provides a comprehensive, cutting-edge overview of this multidisciplinary field
Written and edited by leading scientists, highlighting invaluable and groundbreaking studies
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Table of contents (16 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Editors and Affiliations
About the editors
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).
Bibliographic Information
Book Title: Mathematical, Computational and Experimental T Cell Immunology
Editors: Carmen Molina-París, Grant Lythe
DOI: https://doi.org/10.1007/978-3-030-57204-4
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-57203-7Published: 05 January 2021
Softcover ISBN: 978-3-030-57206-8Published: 06 January 2022
eBook ISBN: 978-3-030-57204-4Published: 04 January 2021
Edition Number: 1
Number of Pages: X, 298
Number of Illustrations: 15 b/w illustrations, 59 illustrations in colour
Topics: Immunology, Bioinformatics