MOLI: multi-omics late integration with deep neural networks for drug response prediction.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Jul 15, 2019
Abstract
MOTIVATION: Historically, gene expression has been shown to be the most informative data for drug response prediction. Recent evidence suggests that integrating additional omics can improve the prediction accuracy which raises the question of how to integrate the additional omics. Regardless of the integration strategy, clinical utility and translatability are crucial. Thus, we reasoned a multi-omics approach combined with clinical datasets would improve drug response prediction and clinical relevance.