Mathematical, Computational and Experimental T Cell Immunology (eBook)

Carmen Molina-París, Grant Lythe (Herausgeber)

eBook Download: PDF

2021 | 1st ed. 2021
X, 298 Seiten
Springer International Publishing (Verlag)
978-3-030-57204-4 (ISBN)

Infos

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).

Produkt-Details

• Erscheint lt. Verlag: 4.1.2021
• Zusatzinfo: X, 298 p. 74 illus., 59 illus. in color.
• Sprache: englisch
• Themenwelt: Medizin / Pharmazie ► Studium
• Themenwelt: Naturwissenschaften ► Biologie
• Schlagworte: Cell Biology • Data-driven modeling • Immune • Modeling • thymic selection • Thymus
• ISBN-10: 3-030-57204-8 / 3030572048
• ISBN-13: 978-3-030-57204-4 / 9783030572044