Multiple-kernel learning for genomic data mining and prediction
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-utilized by ge...
Tallennettuna:
| Päätekijät: | , , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | englanti |
| Julkaistu: |
2019
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| Linkit: | https://doi.org/10.1186/s12859-019-2992-1 https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-019-2992-1 |
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