Mathematical, Computational and Experimental T Cell Immunology

Description

byCarmen Molina-París(Editor), Grant Lythe(Editor) 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. Product Details Publisher:Springer; 1st ed. 2021 edition (January 5, 2021) Language:English Hardcover:308 pages ISBN-10:303057203X ISBN-13:978-3030572037 ISBN-13:9783030572037 eText ISBN: 9783030572044 Item Weight:1.39 pounds Dimensions:6.1 x 0.75 x 9.25 inches