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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Autores principales: Yongsoo Kim, Tycho Bismeijer, Wilbert Zwart, Lodewyk F. A. Wessels, Daniel J. Vis
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
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Acceso en línea:https://doaj.org/article/2d768969dca140ab86ef9a6db53fb9f6
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