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Mathematics in modern immunology
dc.contributor.author | Castro Ponce, Mario | es-ES |
dc.contributor.author | Lythe, Grant | es-ES |
dc.contributor.author | Molina París, Carmen | es-ES |
dc.contributor.author | Ribeiro, Ruy M. | es-ES |
dc.date.accessioned | 2016-05-23T03:06:02Z | |
dc.date.available | 2016-05-23T03:06:02Z | |
dc.date.issued | 2016-04-06 | es_ES |
dc.identifier.issn | 2042-8898 | es_ES |
dc.identifier.uri | https:doi.org10.1098rsfs.2015.0093 | es_ES |
dc.description | Artículos en revistas | es_ES |
dc.description.abstract | es-ES | |
dc.description.abstract | Mathematical and statistical methods enable multidisciplinary approaches that catalyse discovery. Together with experimental methods, they identify key hypotheses, define measurable observables and reconcile disparate results. We collect a representative sample of studies in T-cell biology that illustrate the benefits of modelling–experimental collaborations and that have proven valuable or even groundbreaking. We conclude that it is possible to find excellent examples of synergy between mathematical modelling and experiment in immunology, which have brought significant insight that would not be available without these collaborations, but that much remains to be discovered. | en-GB |
dc.format.mimetype | application/pdf | es_ES |
dc.language.iso | en-GB | es_ES |
dc.source | Revista: Interface Focus, Periodo: 1, Volumen: online, Número: 2, Página inicial: 20150093-1, Página final: 20150093-14 | es_ES |
dc.subject.other | Instituto de Investigación Tecnológica (IIT) | es_ES |
dc.title | Mathematics in modern immunology | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.description.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.rights.holder | es_ES | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.keywords | es-ES | |
dc.keywords | Diversity; Immunology; Mathematical modelling; T cell; T-cell receptor; Two-photon microscopy | en-GB |
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