Exploring Parameter-Efficient Fine-Tuning of a Large-Scale Pre-Trained Model for scRNA-seq Cell Type Annotation. - Yuhang Liu; Tianhao Li; Zixuan Wang; Guiquan Zhu; Yongqing Zhang; Quan Zou 001 (BIBM, 2023)

HGTDG: An Interpretable Heterogeneous Graph Transformer Framework for Cancer Driver Gene Prediction. - Shuwen Xiong; Zixuan Wang; Junming Zhang; Guiquan Zhu; Yongqing Zhang; Quan Zou 001 (BIBM, 2023)

HEAP: a task adaptive-based explainable deep learning framework for enhancer activity prediction. - Yuhang Liu; Zixuan Wang; Hao Yuan; Guiquan Zhu; Yongqing Zhang (Briefings Bioinform., 2023)