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Integrating different data types by regularized unsupervised multiple kernel learning with application to cancer subtype discovery
Motivation: Despite ongoing cancer research, available therapies are still limited in quantity and effectiveness, and making treatment decisions for individual patients remains a hard problem. Established subtypes, which help guide these decisions, are mainly based on individual data types. However,...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4765854/ https://ncbi.nlm.nih.gov/pubmed/26072491 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btv244 |
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