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Multiple-kernel learning for genomic data mining and prediction
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 under-ut...
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| Publié dans: | BMC Bioinformatics |
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| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6694479/ https://ncbi.nlm.nih.gov/pubmed/31416413 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2992-1 |
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