Doyeon Ha

A network-based deep learning model integrating subclonal architecture for therapy response prediction in cancer

This paper introduces SubNetDL, a deep learning model that uses subclonal mutation profiles and protein-protein interaction networks to predict cancer therapy response, achieving strong performance across multiple cancer types and treatment modalities.

A Co-essentiality Network of Cancer Driver Genes Better Prioritizes Anticancer Drugs

The paper constructs a co-essentiality network from CRISPR screens to prioritize anticancer targets and predict drug responses, outperforming conventional networks in drug repurposing.