Using 'big data' to disentangle aging and COVID-19

被引：2
|
作者：
Montgomery, Ruth R. R. [1 ]
Steen, Hanno [2 ,3 ,4 ]
机构：
[1] Yale Sch Med, Dept Internal Med, New Haven, CT 06510 USA
[2] Boston Childrens Hosp, Dept Pathol, Boston, MA USA
[3] Harvard Med Sch, Boston, MA USA
[4] Boston Childrens Hosp, Precis Vaccines Program, Boston, MA USA
来源：
NATURE AGING | 2021年 / 1卷 / 06期
基金：
美国国家卫生研究院;
关键词：
AGE;
D O I：
10.1038/s43587-021-00078-8
中图分类号：
Q2 [细胞生物学];
学科分类号：
071009 ; 090102 ;
摘要：
Arthur et al. leverage different types of big data, either generated in house from cohorts of healthy aging and COVID-19, or downloaded from the ever-increasing public data archives, to disentangle the distinct cellular and proteomic mechanisms of COVID-19 and aging.
引用
收藏
页码：496 / 497
页数：2
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