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Mei-Neng Wang
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2020 – today
- 2024
- [j7]Yu Li
, Zhu-Hong You
Attention-Based Learning for Predicting Drug-Drug Interactions in Knowledge Graph Embedding Based on Multisource Fusion Information. Int. J. Intell. Syst. 2024: 1-11 (2024) - [j6]Hanjing Jiang
Graph-Regularized Non-Negative Matrix Factorization for Single-Cell Clustering in scRNA-Seq Data. IEEE J. Biomed. Health Informatics 28(8): 4986-4994 (2024) - 2023
- [j5]Mei-Neng Wang
Combining K Nearest Neighbor With Nonnegative Matrix Factorization for Predicting Circrna-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2610-2618 (2023) - 2021
- [j4]Zhen-Hao Guo
A learning-based method to predict LncRNA-disease associations by combining CNN and ELM. BMC Bioinform. 22-S(5): 622 (2021) - [j3]Mei-Neng Wang
LDGRNMF: LncRNA-disease associations prediction based on graph regularized non-negative matrix factorization. Neurocomputing 424: 236-245 (2021) - [c3]Mei-Neng Wang, Xue-Jun Xie, Zhuhong You, Leon Wong, Liping Li, Zhan-Heng Chen
Weighted Nonnegative Matrix Factorization Based on Multi-source Fusion Information for Predicting CircRNA-Disease Associations. ICIC (3) 2021: 467-477 - 2020
- [j2]Mei-Neng Wang
GNMFLMI: Graph Regularized Nonnegative Matrix Factorization for Predicting LncRNA-MiRNA Interactions. IEEE Access 8: 37578-37588 (2020) - [j1]Hai-Cheng Yi
RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information. BMC Bioinform. 21(1): 60 (2020) - [c2]Xin Yan, Zhu-Hong You, Lei Wang, Li-Ping Li, Kai Zheng, Mei-Neng Wang:
DTIFS: A Novel Computational Approach for Predicting Drug-Target Interactions from Drug Structure and Protein Sequence. ICIC (2) 2020: 371-383 - [c1]Mei-Neng Wang, Zhu-Hong You, Li-Ping Li, Zhan-Heng Chen
WGMFDDA: A Novel Weighted-Based Graph Regularized Matrix Factorization for Predicting Drug-Disease Associations. ICIC (3) 2020: 542-551
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