Indexed metadata

Mathematics in modern immunology

Mario Castro, Grant Lythe, Carmen Molina-París, Ruy M. Ribeiro

Source record

Source: Crossref

Published: Apr 6, 2016

DOI: 10.1098/rsfs.2015.0093

Open original source ↗

Source abstract

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.

Evidence graph

No public relationships recorded yet.

Integrity note: This page is a factual metadata record created by deterministic ingestion. It is not a claim that the work moves a mathematical frontier or has been independently verified.

Mathematics in modern immunology — Mathematical Frontier Network