Genomic data integration by WON-PARAFAC identifies interpretable factors for predicting drug-sensitivity in vivo
Integrative analyses that link molecular data to treatment sensitivity are essential for precision medicine. Here the authors introduce WON-PARAFAC to integrate multiple genomics data to identify sparse and interpretable factors.
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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2019
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/2d768969dca140ab86ef9a6db53fb9f6 |
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