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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,...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2015
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4765854/ https://www.ncbi.nlm.nih.gov/pubmed/26072491 http://dx.doi.org/10.1093/bioinformatics/btv244 |