Chun-Chun Wang

According to our database, Chun-Chun Wang authored at least 18 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

BMC Medical Informatics Decis. Mak., December, 2025

Deep Augmented Metric Learning Network for Prostate Cancer Classification in Ultrasound Images.

Xu Lu, Yanqi Guo, Shulian Zhang, Yuan Yuan, Chun-Chun Wang, Shen Zhao, Shaopeng Liu

IEEE J. Biomed. Health Informatics, March, 2025

2024

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

Comput. Biol. Medicine, 2024

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

Comput. Biol. Medicine, November, 2023

MCFF-MTDDI: multi-channel feature fusion for multi-typed drug-drug interaction prediction.

Chen-Di Han, Chun-Chun Wang, Li Huang, Xing Chen

Briefings Bioinform., July, 2023

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

Briefings Bioinform., January, 2023

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

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

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

Briefings Bioinform., 2022

Prediction of potential miRNA-disease associations based on stacked autoencoder.

Chun-Chun Wang, Tian-Hao Li, Li Huang, Xing Chen

Briefings Bioinform., 2022

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

Briefings Bioinform., 2021

Microbes and complex diseases: from experimental results to computational models.

Yan Zhao, Chun-Chun Wang, Xing Chen

Briefings Bioinform., 2021

Drug-pathway association prediction: from experimental results to computational models.

Chun-Chun Wang, Yan Zhao, Xing Chen

Briefings Bioinform., 2021

Circular RNAs and complex diseases: from experimental results to computational models.

Chun-Chun Wang, Chendi Han, Qi Zhao, Xing Chen

Briefings Bioinform., 2021

Predicting potential small molecule-miRNA associations based on bounded nuclear norm regularization.

Xing Chen, Chi Zhou, Chun-Chun Wang, Yan Zhao

Briefings Bioinform., 2021

Deep-belief network for predicting potential miRNA-disease associations.

Xing Chen, Tian-Hao Li, Yan Zhao, Chun-Chun Wang, Chi-Chi Zhu

Briefings Bioinform., 2021

2019

RFSMMA: A New Computational Model to Identify and Prioritize Potential Small Molecule-MiRNA Associations.

Chun-Chun Wang, Xing Chen, Jia Qu, Ya-Zhou Sun, Jian-Qiang Li

J. Chem. Inf. Model., 2019

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

J. Chem. Inf. Model., 2019