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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 DetailsPublisher:Springer; 1st ed. 2021 edition (January 5, 2021)Language:EnglishHardcover:308 pagesISBN-10:303057203XISBN-13:978-3030572037ISBN-13:9783030572037eText ISBN: 9783030572044Item Weight:1.39 poundsDimensions:6.1 x 0.75 x 9.25 inches
