Chun-Chun Wang

According to our database, Chun-Chun Wang authored at least 15 papers between 2019 and 2023.

Collaborative distances:

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

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