Mathematical, Computational and Experimental T Cell Immunology
E-Book
Mathematical, Computational and Experimental T Cell Immunology
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.
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).
Molina-París, Carmen
| ISBN | 9783030572044 |
|---|---|
| Artikelnummer | 9783030572044 |
| Medientyp | E-Book - PDF |
| Copyrightjahr | 2021 |
| Verlag | Springer-Verlag |
| Umfang | 298 Seiten |
| Sprache | Englisch |
| Kopierschutz | Digitales Wasserzeichen |
