A Unified Framework for the Prediction of Small Molecule-MicroRNA Association Based on Cross-Layer Dependency Inference on Multilayered Networks. - Chun-Chun Wang; Xing Chen 001 (J. Chem. Inf. Model., 2019)

RFSMMA: A New Computational Model to Identify and Prioritize Potential Small Molecule-MiRNA Associations. - Chun-Chun Wang; Xing Chen 001; Jia Qu; Ya-Zhou Sun; Jian-Qiang Li 001 (J. Chem. Inf. Model., 2019)

Deep-belief network for predicting potential miRNA-disease associations. - Xing Chen 001; Tian-Hao Li; Yan Zhao; Chun-Chun Wang; Chi-Chi Zhu (Briefings Bioinform., 2021)

Predicting potential small molecule-miRNA associations based on bounded nuclear norm regularization. - Xing Chen 001; Chi Zhou; Chun-Chun Wang; Yan Zhao (Briefings Bioinform., 2021)

Circular RNAs and complex diseases: from experimental results to computational models. - Chun-Chun Wang; Chendi Han; Qi Zhao; Xing Chen 001 (Briefings Bioinform., 2021)

Drug-pathway association prediction: from experimental results to computational models. - Chun-Chun Wang; Yan Zhao; Xing Chen 001 (Briefings Bioinform., 2021)

Microbes and complex diseases: from experimental results to computational models. - Yan Zhao; Chun-Chun Wang; Xing Chen 001 (Briefings Bioinform., 2021)

Identification of miRNA-disease associations via multiple information integration with Bayesian ranking. - Chi-Chi Zhu; Chun-Chun Wang; Yan Zhao; Mingcheng Zuo; Xing Chen 001 (Briefings Bioinform., 2021)

Prediction of potential miRNA-disease associations based on stacked autoencoder. - Chun-Chun Wang; Tian-Hao Li; Li Huang; Xing Chen 001 (Briefings Bioinform., 2022)

Dual-Network Collaborative Matrix Factorization for predicting small molecule-miRNA associations. - Shu-Hao Wang; Chun-Chun Wang; Li Huang; Lian-Ying Miao; Xing Chen 001 (Briefings Bioinform., 2022)

Ensemble of kernel ridge regression-based small molecule-miRNA association prediction in human disease. - Chun-Chun Wang; Chi-Chi Zhu; Xing Chen 001 (Briefings Bioinform., 2022)

Predicting drug-target binding affinity through molecule representation block based on multi-head attention and skip connection. - Li Zhang; Chun-Chun Wang; Xing Chen 001 (Briefings Bioinform., 2022)

SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination prediction. - Tian-Hao Li; Chun-Chun Wang; Li Zhang; Xing Chen 001 (Briefings Bioinform., 2023)

MCFF-MTDDI: multi-channel feature fusion for multi-typed drug-drug interaction prediction. - Chen-Di Han; Chun-Chun Wang; Li Huang; Xing Chen 001 (Briefings Bioinform., 2023)

GPCNDTA: Prediction of drug-target binding affinity through cross-attention networks augmented with graph features and pharmacophores. - Li Zhang; Chun-Chun Wang; Yong Zhang; Xing Chen 001 (Comput. Biol. Medicine, 2023)

RFEM: A framework for essential microRNA identification in mice based on rotation forest and multiple feature fusion. - Shu-Hao Wang; Yan Zhao; Chun-Chun Wang; Fei Chu; Lian-Ying Miao; Li Zhang; Linlin Zhuo; Xing Chen 001 (Comput. Biol. Medicine, 2024)

Deep Augmented Metric Learning Network for Prostate Cancer Classification in Ultrasound Images. - Xu Lu 002; Yanqi Guo; Shulian Zhang; Yuan Yuan 007; Chun-Chun Wang; Shen Zhao; Shaopeng Liu (IEEE J. Biomed. Health Informatics, 2025)

A new approach for microbe-disease association prediction: incorporating representation learning of latent relationships. - Shaopeng Liu; Wanlu Hu; Chun-Chun Wang; Linlin Zhuo; Xu Lu 002 (BMC Medical Informatics Decis. Mak., 2025)