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Book synopsis

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.

Book details

Book category Books in English Medicine Clinical & internal medicine Diseases & disorders

• Full title: Mathematical, Computational and Experimental T Cell Immunology
• Author: Carmen Molina-París, Grant Lythe
• Language: English
• Binding: Paperback
• Number of pages: 298
• EAN: 9783030572068
• ID: 38503320
• Publisher: Springer Nature Switzerland AG
• Weight: 474 g
• Dimensions: 235 × 155 × 17 mm
• Date of publishing: 06. January 2022

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