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Wen Li 0009
Person information
- affiliation: Hunan First Normal University, School of Electronic Information, Changsha, China
- affiliation (PhD 2023): Hunan University, College of Information Science and Engineering, Changsha, China
Other persons with the same name
- Wen Li — disambiguation page
- Wen Li 0001 — University of Electronic Science and Technology of China, Chengdu, China (and 2 more)
- Wen Li 0002 — Taiyuan University of Technology, School of Mathematics, China
- Wen Li 0003 — Hunan University, Business School, Changsha, China
- Wen Li 0004 — Michigan State University, Department of Electrical and Computer Engineering, East Lansing, MI, USA (and 1 more)
- Wen Li 0005 — Xiamen University, Xiamen, Fujian, China
- Wen Li 0006 — South China Normal University, School of Mathematical Sciences, Guangzhou
- Wen Li 0007 — Washington State University, Pullman, WA, USA
- Wen Li 0008 — Army Engineering University of PLA, College of Communications Engineering, Nanjing, China
- Wen Li 0010 — Hong Kong Polytechnic University, Health Technology and Informatics, Hong Kong (and 2 more)
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2020 – today
- 2023
- [j5]Yue Liu, Shu-Lin Wang, Jun-Feng Zhang, Wei Zhang, Wen Li:
LncRNA-Disease Associations Prediction Based on Neural Network-Based Matrix Factorization. IEEE Access 11: 59071-59080 (2023) - 2022
- [j4]Wen Li, Shu-Lin Wang, Junlin Xu, Ju Xiang:
Inferring Latent MicroRNA-Disease Associations on a Gene-Mediated Tripartite Heterogeneous Multiplexing Network. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3190-3201 (2022) - 2021
- [j3]Yue Liu, Shu-Lin Wang, Jun-Feng Zhang, Wei Zhang, Wen Li:
A neural collaborative filtering method for identifying miRNA-disease associations. Neurocomputing 422: 176-185 (2021) - [j2]Yue Liu, Shu-Lin Wang, Jun-Feng Zhang, Wei Zhang, Su Zhou, Wen Li:
DMFMDA: Prediction of Microbe-Disease Associations Based on Deep Matrix Factorization Using Bayesian Personalized Ranking. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1763-1772 (2021) - [c2]Wen Li, Shulin Wang, Hu Guo:
LPI-FKLGCN: Predicting LncRNA-Protein Interactions Through Fast Kernel Learning and Graph Convolutional Network. ISBRA 2021: 227-238 - 2020
- [j1]Su Zhou, Shulin Wang, Qi Wu, Riasat Azim, Wen Li:
Predicting potential miRNA-disease associations by combining gradient boosting decision tree with logistic regression. Comput. Biol. Chem. 85: 107200 (2020) - [c1]Wen Li, Shulin Wang, Junlin Xu, Jialiang Yang:
Identification of Human LncRNA-Disease Association by Fast Kernel Learning-Based Kronecker Regularized Least Squares. ICIC (2) 2020: 302-315
Coauthor Index
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