Multiple-kernel learning for genomic data mining and prediction
Abstract Background Advances in medical technology have allowed for customized prognosis, diagnosis, and treatment regimens that utilize multiple heterogeneous data sources. Multiple kernel learning (MKL) is well suited for the integration of multiple high throughput data sources. MKL remains to be...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2019-08-01
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| coleção: | BMC Bioinformatics |
| Assuntos: | |
| Acesso em linha: | http://link.springer.com/article/10.1186/s12859-019-2992-1 |
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