A-Reum Nam

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.

Integrative mapping of the dog epigenome: reference annotation for comparative inter-tissue and cross-species studies

The paper generates a reference epigenome for domestic dogs using integrative sequencing across 11 tissues, enabling comparative studies and identifying tissue-specific epigenomic features.