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
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents(16 chapters)
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
-
Department of Applied Mathematics, School of Mathematics,, University of Leeds, Leeds, UK
Carmen Molina-París
-
Department of Applied Mathematics, School of Mathematics, University of Leeds, Leeds, UK
Grant Lythe
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