The geometry of clinical labs and wellness states from deeply phenotyped humans

Longitudinal multi-omics measurements are highly valuable in studying heterogeneity in health and disease phenotypes. For thousands of people, we have collected longitudinal multi-omics data. To analyze, interpret and visualize this extremely high-dimensional data, we use the Pareto Task Inference (...

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Detalles Bibliográficos
Autores principales: Zimmer, Anat, Korem, Yael, Rappaport, Noa, Wilmanski, Tomasz, Baloni, Priyanka, Jade, Kathleen, Robinson, Max, Magis, Andrew T., Lovejoy, Jennifer, Gibbons, Sean M., Hood, Leroy, Price, Nathan D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196202/
https://www.ncbi.nlm.nih.gov/pubmed/34117230
http://dx.doi.org/10.1038/s41467-021-23849-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196202/
https://www.ncbi.nlm.nih.gov/pubmed/34117230
http://dx.doi.org/10.1038/s41467-021-23849-8

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