Mathematical, Computational and Experimental T Cell Immunology

Molina-parís, Carmen (EDT); Lythe, Grant (EDT)

ISBN 10: 303057203X / ISBN 13: 9783030572037

Editore: Springer, 2021

Unread book in perfect condition. Codice articolo 43432778

Riassunto:

<p>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.<br></p><p></p>

Informazioni sull'autore: <p>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)&nbsp;and they currently coordinate the H2020 Innovative Training Network on&nbsp;Quantitative T cell Immunology and Immunotherapy (2018-2022).</p>

Dati bibliografici

Titolo: Mathematical, Computational and Experimental...
Casa editrice: Springer
Data di pubblicazione: 2021
Legatura: Rilegato
Condizione: As New