ConPep: Prediction of peptide contact maps with pre-trained biological language model and multi-view feature extracting strategy. - Qingxin Wei; Ruheng Wang; Yi Jiang; Leyi Wei; Yu Sun; Jie Geng 001; Ran Su (Comput. Biol. Medicine, 2023)

Prediction of cancer recurrence based on compact graphs of whole slide images. - Fengyun Zhang; Jie Geng 001; Degan Zhang; Jinglong Gui; Ran Su (Comput. Biol. Medicine, 2023)

Prediction of anti-cancer drug synergy based on cross-matching network and cancer molecular subtypes. - Ran Su; Jingyi Han; Changming Sun; Degan Zhang; Jie Geng 001; Ping Wang; Xiaoyan Zeng (Comput. Biol. Medicine, 2024)

An effective framework for predicting drug-drug interactions based on molecular substructures and knowledge graph neural network. - Siqi Chen 001; Ivan Semenov; Fengyun Zhang; Yang Yang; Jie Geng 001; Xuequan Feng; Qinghua Meng; Kaiyou Lei (Comput. Biol. Medicine, 2024)

Iterative clustering algorithm G-DESC-E and pan-cancer key gene analysis based on single-cell sequencing data. - Ke Wu; Changming Sun; Jie Geng 001; Ping Wang; Qi Dai; Leyi Wei; Ran Su (Briefings Bioinform., 2025)

TCN-RDP: Predicting Drug-Induced Liver Injury from Time-Series Toxicogenomic Data. - Zhongyan Zhao; Bin Li; Haochen Zuo; Ruibing Chen; Rui Deng; Jie Geng 001; Changming Sun; Leyi Wei; Mingxiao Lang; Ran Su (J. Chem. Inf. Model., 2025)

TPNET: A Time-Sensitive Small Sample Multimodal Network for Cardiotoxicity Risk Prediction. - Yuan He; Fengyun Zhang; Kaimiao Hu; Changming Sun; Jie Geng 001; Ning Ren; Ran Su (IEEE J. Biomed. Health Informatics, 2025)

BFGTP: A BERT-Guided Two-Stage Molecular Representation Learning Framework for Toxicity Prediction. - Kaimiao Hu; Yuan He; Jianguo Wei; Changming Sun; Jie Geng 001; Leyi Wei; Ran Su (IEEE J. Biomed. Health Informatics, 2025)