Hi-GeoMVP: a hierarchical geometry-enhanced deep learning model for drug response prediction.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Mar 29, 2024
Abstract
MOTIVATION: Personalized cancer treatments require accurate drug response predictions. Existing deep learning methods show promise but higher accuracy is needed to serve the purpose of precision medicine. The prediction accuracy can be improved with not only topology but geometrical information of drugs.