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Genomic data integration by WON-PARAFAC identifies interpretable factors for predicting drug-sensitivity in vivo
Integrative analyses that summarize and link molecular data to treatment sensitivity are crucial to capture the biological complexity which is essential to further precision medicine. We introduce Weighted Orthogonal Nonnegative parallel factor analysis (WON-PARAFAC), a data integration method that...
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| Publicado no: | Nat Commun |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6834616/ https://ncbi.nlm.nih.gov/pubmed/31695042 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-019-13027-2 |
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