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Integrating Clinical and Multiple Omics Data for Prognostic Assessment across Human Cancers
Multiple omic profiles have been generated for many cancer types; however, comprehensive assessment of their prognostic values across cancers is limited. We conducted a pan-cancer prognostic assessment and presented a multi-omic kernel machine learning method to systematically quantify the prognosti...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5717223/ https://www.ncbi.nlm.nih.gov/pubmed/29209073 http://dx.doi.org/10.1038/s41598-017-17031-8 |