Mathematical, Computational and Experimental T Cell Immunology

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 3030572064
• ISBN13: 9783030572068
• Release Date: January 2022
• Publisher: Springer
• Length: 298 Pages
• Weight: 0.96 lbs.
• Dimensions: 0.7" x 6.1" x 9.2"