An unsupervised learning approach to identify novel signatures of health and disease from multimodal data
Abstract 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 fea...
-д хадгалсан:
| Үндсэн зохиолчид: | , , , , , , , , , , , , , , , , , , , |
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| Формат: | Artigo |
| Хэл сонгох: | англи |
| Хэвлэсэн: |
2020
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| Онлайн хандалт: | https://doi.org/10.1186/s13073-019-0705-z https://genomemedicine.biomedcentral.com/track/pdf/10.1186/s13073-019-0705-z |
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