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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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| Publicado no: | Nat Commun |
|---|---|
| Main Authors: | , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8196202/ https://ncbi.nlm.nih.gov/pubmed/34117230 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-021-23849-8 |
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