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Article

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

Nature communications - 11 Jun 2021

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

Abstract excerpt

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 (ParTI) method. We find that the clinical labs data fall within a tetrahedron. We then use all other data types to...

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Identifiers

PMID: 34117230
DOI: 10.1038/s41467-021-23849-8
PMCID: PMC8196202

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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