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Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models
Translating the vast data generated by genomic platforms into accurate predictions of clinical outcomes is a fundamental challenge in genomic medicine. Many prediction methods face limitations in learning from the high-dimensional profiles generated by these platforms, and rely on experts to hand-se...
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| Publicat a: | Sci Rep |
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| Autors principals: | , , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Publishing Group UK
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5601479/ https://ncbi.nlm.nih.gov/pubmed/28916782 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-11817-6 |
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