Castro, M, Lythe, G, Molina-Paris, C et al. (1 more author) (2016) Mathematics in Modern Immunology. Interface Focus, 6. 20150093. ISSN 2042-8898
Abstract
Mathematical and statistical methods enable multi-disciplinary approaches that catalyse discovery. Together with experimental methods, they identify key hypotheses, de ne measurable observables and reconcile disparate results. We collect a representative sample of studies in cell biology that illustrate the benefits of modelling-experimental collaborations and that have proven valuable or even ground-breaking. We conclude that it is possible to nd excellent examples of synergy between mathematical modelling and experiment in Immunology, which have brought signi cant insight that would not be available without these collaborations, but that much remains to be discovered.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
Keywords: | Hypothesis; mathematical modelling; immunology; T cell; cytokine; two-photon microscopy; T cell receptor; diversity; thymus; proliferation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Applied Mathematics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 Jan 2016 14:29 |
Last Modified: | 25 Apr 2016 13:24 |
Published Version: | http://dx.doi.org/10.1098/rsfs.2015.0093 |
Status: | Published |
Publisher: | The Royal Society |
Identification Number: | 10.1098/rsfs.2015.0093 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:93509 |