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Chun-Chun Wang

Showing results (11-20 of 39) with videos related to

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RNA Biology|January 17, 2019
An integrated framework for the identification of potential miRNA-disease association based on novel negative samples extraction strategyChun-Chun Wang, Xing Chen, Jun Yin, et al.
Briefings in Bioinformatics|June 9, 2023
MCFF-MTDDI: multi-channel feature fusion for multi-typed drug-drug interaction predictionChen-Di Han, Chun-Chun Wang, Li Huang, et al.
Molecular Therapy. Nucleic Acids|November 16, 2018
Novel Human miRNA-Disease Association Inference Based on Random ForestXing Chen, Chun-Chun Wang, Jun Yin, et al.
Briefings in Bioinformatics|November 24, 2022
SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination predictionTian-Hao Li, Chun-Chun Wang, Li Zhang, et al.
Briefings in Bioinformatics|July 30, 2021
Circular RNAs and complex diseases: from experimental results to computational modelsChun-Chun Wang, Chen-Di Han, Qi Zhao, et al.
Briefings in Bioinformatics|February 17, 2022
Prediction of potential miRNA-disease associations based on stacked autoencoderChun-Chun Wang, Tian-Hao Li, Li Huang, et al.
Genomics|May 29, 2019
Potential miRNA-disease association prediction based on kernelized Bayesian matrix factorizationXing Chen, Shao-Xin Li, Jun Yin, et al.
BMC Medical Informatics and Decision Making|July 18, 2025
A new approach for microbe-disease association prediction: incorporating representation learning of latent relationshipsShaopeng Liu, Wanlu Hu, Chun-Chun Wang, et al.
Molecular Pharmaceutics|May 29, 2019
Prediction of Small Molecule-MicroRNA Associations by Sparse Learning and Heterogeneous Graph InferenceJun Yin, Xing Chen, Chun-Chun Wang, et al.
Briefings in Bioinformatics|August 4, 2021
Identification of miRNA-disease associations via multiple information integration with Bayesian rankingChi-Chi Zhu, Chun-Chun Wang, Yan Zhao, et al.
Pageof 4

Showing results (11-20 of 39) with videos related to

Sort By:
Pageof 4
RNA Biology|January 17, 2019
An integrated framework for the identification of potential miRNA-disease association based on novel negative samples extraction strategyChun-Chun Wang, Xing Chen, Jun Yin, et al.
Briefings in Bioinformatics|June 9, 2023
MCFF-MTDDI: multi-channel feature fusion for multi-typed drug-drug interaction predictionChen-Di Han, Chun-Chun Wang, Li Huang, et al.
Molecular Therapy. Nucleic Acids|November 16, 2018
Novel Human miRNA-Disease Association Inference Based on Random ForestXing Chen, Chun-Chun Wang, Jun Yin, et al.
Briefings in Bioinformatics|November 24, 2022
SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination predictionTian-Hao Li, Chun-Chun Wang, Li Zhang, et al.
Briefings in Bioinformatics|July 30, 2021
Circular RNAs and complex diseases: from experimental results to computational modelsChun-Chun Wang, Chen-Di Han, Qi Zhao, et al.
Briefings in Bioinformatics|February 17, 2022
Prediction of potential miRNA-disease associations based on stacked autoencoderChun-Chun Wang, Tian-Hao Li, Li Huang, et al.
Genomics|May 29, 2019
Potential miRNA-disease association prediction based on kernelized Bayesian matrix factorizationXing Chen, Shao-Xin Li, Jun Yin, et al.
BMC Medical Informatics and Decision Making|July 18, 2025
A new approach for microbe-disease association prediction: incorporating representation learning of latent relationshipsShaopeng Liu, Wanlu Hu, Chun-Chun Wang, et al.
Molecular Pharmaceutics|May 29, 2019
Prediction of Small Molecule-MicroRNA Associations by Sparse Learning and Heterogeneous Graph InferenceJun Yin, Xing Chen, Chun-Chun Wang, et al.
Briefings in Bioinformatics|August 4, 2021
Identification of miRNA-disease associations via multiple information integration with Bayesian rankingChi-Chi Zhu, Chun-Chun Wang, Yan Zhao, et al.
Pageof 4