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netDx: interpretable patient classification using integrated patient similarity networks
Patient classification has widespread biomedical and clinical applications, including diagnosis, prognosis, and treatment response prediction. A clinically useful prediction algorithm should be accurate, generalizable, be able to integrate diverse data types, and handle sparse data. A clinical predi...
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| Publicado no: | Mol Syst Biol |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6423721/ https://ncbi.nlm.nih.gov/pubmed/30872331 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.15252/msb.20188497 |
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