Article

Unsupervised integration of multimodal dataset identifies novel signatures of health and disease

2018-10-03

Abstract excerpt

Modern medicine is rapidly moving towards a data-driven paradigm based on comprehensive multimodal health assessments. We collected 1,385 data features from diverse modalities, including metabolome, microbiome, genetics and advanced imaging, from 1,253 individuals and from a longitudinal validation cohort of 1,083 individuals. We utilized an ensemble of unsupervised machine learning techniques to identify multimod...

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Literature Corpus work: 434f2264-be6a-5fa2-b11c-ccaf3db47604
DOI: 10.1101/432641

Open publication

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