Computational Prediction of Protein-Protein Interactions in Plants Using Only Sequence Information. - Jie Pan 007; Changqing Yu; Liping Li 003; Zhuhong You; Zhong-Hao Ren; Yao Chen; Yongjian Guan (ICIC (1), 2021)

FWHT-RF: A Novel Computational Approach to Predict Plant Protein-Protein Interactions via an Ensemble Learning Method. - Jie Pan 007; Li-Ping Li 003; Changqing Yu; Zhu-Hong You; Zhong-Hao Ren; Jing-Yu Tang (Sci. Program., 2021)

A novel circRNA-miRNA association prediction model based on structural deep neural network embedding. - Lu-Xiang Guo; Zhu-Hong You; Lei Wang 121; Changqing Yu; Bo-Wei Zhao; Zhong-Hao Ren; Jie Pan 007 (Briefings Bioinform., 2022)

A biomedical knowledge graph-based method for drug-drug interactions prediction through combining local and global features with deep neural networks. - Zhong-Hao Ren; Zhu-Hong You; Changqing Yu; Li-Ping Li 003; Yongjian Guan; Lu-Xiang Guo; Jie Pan 007 (Briefings Bioinform., 2022)

A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks. - Xin-Fei Wang; Changqing Yu; Zhu-Hong You; Li-Ping Li 003; Wenzhun Huang; Zhong-Hao Ren; Yue-Chao Li; Weixiao Meng 001 (Briefings Bioinform., 2023)

RBNE-CMI: An Efficient Method for Predicting circRNA-miRNA Interactions via Multiattribute Incomplete Heterogeneous Network Embedding. - Chang-Qing Yu; Xin-Fei Wang; Li-Ping Li 003; Zhu-Hong You; Zhong-Hao Ren; Peng Chu; Feng Guo; Zhen-Yu Wang (J. Chem. Inf. Model., 2024)

SiSGC: A Drug Repositioning Prediction Model Based on Heterogeneous Simplifying Graph Convolution. - Zhong-Hao Ren; Chang-Qing Yu; Li-Ping Li 003; Zhu-Hong You; Zheng-Wei Li 001; Shanwen Zhang; Xiangxiang Zeng; Yi-Fan Shang (J. Chem. Inf. Model., 2024)