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.

Bibliographic Details
Main Authors: Yongsoo Kim, Tycho Bismeijer, Wilbert Zwart, Lodewyk F. A. Wessels, Daniel J. Vis
Format: Article
Language:English
Published: Nature Portfolio 2019-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-019-13027-2