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An unsupervised learning approach to identify novel signatures of health and disease from multimodal data
BACKGROUND: Modern medicine is rapidly moving towards a data-driven paradigm based on comprehensive multimodal health assessments. Integrated analysis of data from different modalities has the potential of uncovering novel biomarkers and disease signatures. METHODS: We collected 1385 data features f...
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| Foilsithe in: | Genome Med |
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| Main Authors: | , , , , , , , , , , , , , , , , , , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
BioMed Central
2020
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6953286/ https://ncbi.nlm.nih.gov/pubmed/31924279 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13073-019-0705-z |
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