Mathematical, Computational and Experimental T Cell Immunology (Hardcover, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	2021
First published:	2021
Editors:	Carmen Molina-Paris • Grant Lythe
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	298
Edition:	1st ed. 2021
ISBN-13:	978-3-03-057203-7
Categories:	Books > Science & Mathematics > Biology, life sciences > Molecular biology Books > Medicine > Clinical & internal medicine > Diseases & disorders > Immunology > General
LSN:	3-03-057203-X
Barcode:	9783030572037

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