数据科学
计算机科学
多学科方法
钥匙(锁)
可见的
系统生物学
计算生物学
管理科学
生物
物理
社会科学
计算机安全
量子力学
社会学
经济
作者
Mario Castro,Grant Lythe,Carmen Molina-Parı́s,Ruy M. Ribeiro
出处
期刊:Interface Focus
[Royal Society]
日期:2016-02-19
卷期号:6 (2): 20150093-20150093
被引量:50
标识
DOI:10.1098/rsfs.2015.0093
摘要
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.
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