A wellness study of 108 individuals using personal, dense, dynamic data clouds.
作者： Nathan D Price , Andrew T Magis , John C Earls , Gustavo Glusman , Roie Levy
DOI: 10.1038/NBT.3870
关键词: Coaching 、 Correlation 、 Computational biology 、 Dynamic data 、 Clinical tests 、 Bioinformatics 、 Disease 、 Microbiome 、 Genome-wide association study 、 Genetic association 、 Biology
摘要: Personal data for 108 individuals were collected during a 9-month period, including whole genome sequences; clinical tests, metabolomes, proteomes, and microbiomes at three time …
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