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Dayun Liu

Showing results (1-10 of 8) with videos related to

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Chinese Medical Journal|December 23, 2003
Study of the relationship between the onset of peptic ulcers and meteorological factorsDayun Liu, Anning Gao, Guodu Tang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 29, 2021
MGATMDA: Predicting Microbe-Disease Associations via Multi-Component Graph Attention NetworkDayun Liu, Junyi Liu, Yi Luo, et al.
BMC Bioinformatics|April 29, 2021
SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoostDayun Liu, Yibiao Huang, Wenjuan Nie, et al.
Frontiers in Genetics|April 26, 2021
PMDFI: Predicting miRNA-Disease Associations Based on High-Order Feature InteractionMingyan Tang, Chenzhe Liu, Dayun Liu, et al.
BMC Bioinformatics|October 14, 2022
MSPCD: predicting circRNA-disease associations via integrating multi-source data and hierarchical neural networkLei Deng, Dayun Liu, Yizhan Li, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 7, 2023
HGNNLDA: Predicting lncRNA-Drug Sensitivity Associations via a Dual Channel Hypergraph Neural NetworkDayun Liu, Xianghui Li, Liangliang Zhang, et al.
Briefings in Bioinformatics|November 20, 2023
A comprehensive review and evaluation of graph neural networks for non-coding RNA and complex disease associationsXiaowen Hu, Dayun Liu, Jiaxuan Zhang, et al.
Briefings in Bioinformatics|April 22, 2024
IGCNSDA: unraveling disease-associated snoRNAs with an interpretable graph convolutional networkXiaowen Hu, Pan Zhang, Dayun Liu, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Chinese Medical Journal|December 23, 2003
Study of the relationship between the onset of peptic ulcers and meteorological factorsDayun Liu, Anning Gao, Guodu Tang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 29, 2021
MGATMDA: Predicting Microbe-Disease Associations via Multi-Component Graph Attention NetworkDayun Liu, Junyi Liu, Yi Luo, et al.
BMC Bioinformatics|April 29, 2021
SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoostDayun Liu, Yibiao Huang, Wenjuan Nie, et al.
Frontiers in Genetics|April 26, 2021
PMDFI: Predicting miRNA-Disease Associations Based on High-Order Feature InteractionMingyan Tang, Chenzhe Liu, Dayun Liu, et al.
BMC Bioinformatics|October 14, 2022
MSPCD: predicting circRNA-disease associations via integrating multi-source data and hierarchical neural networkLei Deng, Dayun Liu, Yizhan Li, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 7, 2023
HGNNLDA: Predicting lncRNA-Drug Sensitivity Associations via a Dual Channel Hypergraph Neural NetworkDayun Liu, Xianghui Li, Liangliang Zhang, et al.
Briefings in Bioinformatics|November 20, 2023
A comprehensive review and evaluation of graph neural networks for non-coding RNA and complex disease associationsXiaowen Hu, Dayun Liu, Jiaxuan Zhang, et al.
Briefings in Bioinformatics|April 22, 2024
IGCNSDA: unraveling disease-associated snoRNAs with an interpretable graph convolutional networkXiaowen Hu, Pan Zhang, Dayun Liu, et al.
Pageof 1