Genomic data integration by WON-PARAFAC identifies interpretable factors for predicting drug-sensiti...
Genomic data integration by WON-PARAFAC identifies interpretable factors for predicting drug-sensitivity in vivo
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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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 identifies sparse and interpretable factors. WON-P...
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Genomic data integration by WON-PARAFAC identifies interpretable factors for predicting drug-sensitivity in vivo
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TN_cdi_doaj_primary_oai_doaj_org_article_2d768969dca140ab86ef9a6db53fb9f6
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2d768969dca140ab86ef9a6db53fb9f6
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ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-019-13027-2
