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Chun-Chun Wang
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2020 – today
- 2024
- [j16]Shu-Hao Wang, Yan Zhao, Chun-Chun Wang, Fei Chu, Lian-Ying Miao, Li Zhang, Linlin Zhuo, Xing Chen:
RFEM: A framework for essential microRNA identification in mice based on rotation forest and multiple feature fusion. Comput. Biol. Medicine 171: 108177 (2024) - 2023
- [j15]Tian-Hao Li, Chun-Chun Wang, Li Zhang, Xing Chen:
SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination prediction. Briefings Bioinform. 24(1) (2023) - [j14]Chen-Di Han, Chun-Chun Wang, Li Huang, Xing Chen:
MCFF-MTDDI: multi-channel feature fusion for multi-typed drug-drug interaction prediction. Briefings Bioinform. 24(4) (2023) - [j13]Li Zhang, Chun-Chun Wang, Yong Zhang, Xing Chen:
GPCNDTA: Prediction of drug-target binding affinity through cross-attention networks augmented with graph features and pharmacophores. Comput. Biol. Medicine 166: 107512 (2023) - 2022
- [j12]Shu-Hao Wang, Chun-Chun Wang, Li Huang, Lian-Ying Miao, Xing Chen:
Dual-Network Collaborative Matrix Factorization for predicting small molecule-miRNA associations. Briefings Bioinform. 23(1) (2022) - [j11]Chun-Chun Wang, Chi-Chi Zhu, Xing Chen:
Ensemble of kernel ridge regression-based small molecule-miRNA association prediction in human disease. Briefings Bioinform. 23(1) (2022) - [j10]Chun-Chun Wang, Tian-Hao Li, Li Huang, Xing Chen:
Prediction of potential miRNA-disease associations based on stacked autoencoder. Briefings Bioinform. 23(2) (2022) - [j9]Li Zhang, Chun-Chun Wang, Xing Chen:
Predicting drug-target binding affinity through molecule representation block based on multi-head attention and skip connection. Briefings Bioinform. 23(6) (2022) - 2021
- [j8]Xing Chen, Tian-Hao Li, Yan Zhao, Chun-Chun Wang, Chi-Chi Zhu:
Deep-belief network for predicting potential miRNA-disease associations. Briefings Bioinform. 22(3) (2021) - [j7]Chun-Chun Wang, Yan Zhao, Xing Chen:
Drug-pathway association prediction: from experimental results to computational models. Briefings Bioinform. 22(3) (2021) - [j6]Yan Zhao, Chun-Chun Wang, Xing Chen:
Microbes and complex diseases: from experimental results to computational models. Briefings Bioinform. 22(3) (2021) - [j5]Xing Chen, Chi Zhou, Chun-Chun Wang, Yan Zhao:
Predicting potential small molecule-miRNA associations based on bounded nuclear norm regularization. Briefings Bioinform. 22(6) (2021) - [j4]Chun-Chun Wang, Chendi Han, Qi Zhao, Xing Chen:
Circular RNAs and complex diseases: from experimental results to computational models. Briefings Bioinform. 22(6) (2021) - [j3]Chi-Chi Zhu, Chun-Chun Wang, Yan Zhao, Mingcheng Zuo, Xing Chen:
Identification of miRNA-disease associations via multiple information integration with Bayesian ranking. Briefings Bioinform. 22(6) (2021)
2010 – 2019
- 2019
- [j2]Chun-Chun Wang, Xing Chen, Jia Qu, Ya-Zhou Sun, Jian-Qiang Li:
RFSMMA: A New Computational Model to Identify and Prioritize Potential Small Molecule-MiRNA Associations. J. Chem. Inf. Model. 59(4): 1668-1679 (2019) - [j1]Chun-Chun Wang, Xing Chen:
A Unified Framework for the Prediction of Small Molecule-MicroRNA Association Based on Cross-Layer Dependency Inference on Multilayered Networks. J. Chem. Inf. Model. 59(12): 5281-5293 (2019)
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last updated on 2024-06-10 20:31 CEST by the dblp team
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