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.
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2019-11-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-019-13027-2 |