A wellness study of 108 individuals using personal, dense, dynamic data clouds View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-07-17

AUTHORS

Nathan D Price, Andrew T Magis, John C Earls, Gustavo Glusman, Roie Levy, Christopher Lausted, Daniel T McDonald, Ulrike Kusebauch, Christopher L Moss, Yong Zhou, Shizhen Qin, Robert L Moritz, Kristin Brogaard, Gilbert S Omenn, Jennifer C Lovejoy, Leroy Hood

ABSTRACT

Longitudinal clinical and multi-omics data from 108 healthy individuals are analyzed to identify putative biomarkers and diagnostics of early disease states.

PAGES

747-756

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nbt.3870

    DOI

    http://dx.doi.org/10.1038/nbt.3870

    DIMENSIONS

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    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/28714965


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