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2020 – today
- 2023
[j4]Dayun Liu
, Xianghui Li, Liangliang Zhang, Xiaowen Hu, Jiaxuan Zhang, Zhirong Liu, Lei Deng:
HGNNLDA: Predicting lncRNA-Drug Sensitivity Associations via a Dual Channel Hypergraph Neural Network. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3547-3555 (2023)- 2022
- [j3]Lei Deng, Dayun Liu, Yizhan Li, Runqi Wang, Junyi Liu, Jiaxuan Zhang, Hui Liu:
MSPCD: predicting circRNA-disease associations via integrating multi-source data and hierarchical neural network. BMC Bioinform. 23-S(3): 427 (2022) - [j2]Dayun Liu, Junyi Liu, Yi Luo, Qihua He, Lei Deng:
MGATMDA: Predicting Microbe-Disease Associations via Multi-Component Graph Attention Network. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3578-3585 (2022) - 2021
- [j1]Dayun Liu, Yibiao Huang, Wenjuan Nie, Jiaxuan Zhang, Lei Deng:
SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost. BMC Bioinform. 22(1): 219 (2021) - [c2]Dayun Liu, Yi Luo, Jingjing Zheng, Hanlin Xu, Jiaxuan Zhang, Lei Deng:
GCNSDA: Predicting snoRNA-disease associations via graph convolutional network. BIBM 2021: 183-188 - [c1]Song Yu, Hanlin Xu, Yizhan Li, Dayun Liu, Lei Deng:
LGCMDS: Predicting miRNA-Drug Sensitivity based on Light Graph Convolution Network. BIBM 2021: 217-222
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