Mathematics in modern immunology

dc.contributor.authorCastro Ponce, Marioes-ES
dc.date.accessioned2016-05-23T03:06:02Z
dc.date.available2016-05-23T03:06:02Z
dc.date.issued2016-04-06
dc.descriptionArtículos en revistas
dc.description.abstractMathematical 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.es-ES
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.format.mimetypeapplication/pdf
dc.identifier.issn2042-8898
dc.identifier.urihttps://doi.org/10.1098/rsfs.2015.0093
dc.keywordsDiversity; Immunology; Mathematical modelling; T cell; T-cell receptor; Two-photon microscopyes-ES
dc.language.isoen-GB
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.holderes_ES
dc.sourceRevista: Interface Focus, Periodo: 1, Volumen: online, Número: 2, Página inicial: 20150093, Página final: 0
dc.subject.otherInstituto de Investigación Tecnológica (IIT)
dc.titleMathematics in modern immunology
dc.typeinfo:eu-repo/semantics/article

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