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Yangkun Cao
Yangkun Cao
在 mails.jlu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Drug repositioning through integration of prior knowledge and projections of drugs and diseases
P Xuan, Y Cao, T Zhang, X Wang, S Pan, T Shen
Bioinformatics 35 (20), 4108-4119, 2019
742019
Dual convolutional neural networks with attention mechanisms based method for predicting disease-related lncRNA genes
P Xuan, Y Cao, T Zhang, R Kong, Z Zhang
Frontiers in genetics 10, 416, 2019
592019
Autoencoder-based drug–target interaction prediction by preserving the consistency of chemical properties and functions of drugs
C Sun, Y Cao, JM Wei, J Liu
Bioinformatics 37 (20), 3618-3625, 2021
292021
Multi-channel graph attention autoencoders for disease-related lncRNAs prediction
N Sheng, L Huang, Y Wang, J Zhao, P Xuan, L Gao, Y Cao
Briefings in bioinformatics 23 (2), bbab604, 2022
232022
Molecular subtyping of cancer based on robust graph neural network and multi-omics data integration
C Yin, Y Cao, P Sun, H Zhang, Z Li, Y Xu, H Sun
Frontiers in genetics 13, 884028, 2022
172022
Learning multi-scale heterogenous network topologies and various pairwise attributes for drug–disease association prediction
H Zhang, H Cui, T Zhang, Y Cao, P Xuan
Briefings in Bioinformatics 23 (2), bbac009, 2022
102022
Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases
N Sheng, Y Wang, L Huang, L Gao, Y Cao, X Xie, Y Fu
Briefings in bioinformatics 24 (5), bbad276, 2023
72023
Predicting miRNA-disease associations based on multi-view information fusion
X Xie, Y Wang, N Sheng, S Zhang, Y Cao, Y Fu
Frontiers in genetics 13, 979815, 2022
62022
Identification of Cancer Driver Genes by Integrating Multiomics Data with Graph Neural Networks
H Song, C Yin, Z Li, K Feng, Y Cao, Y Gu, H Sun
Metabolites 13 (3), 339, 2023
52023
A survey of computational methods and databases for lncRNA-miRNA interaction prediction
N Sheng, L Huang, L Gao, Y Cao, X Xie, Y Wang
IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (5 …, 2023
42023
X-lda: an interpretable and knowledge-informed heterogeneous graph learning framework for lncrna-disease association prediction
Y Cao, J Xiao, N Sheng, Y Qu, Z Wang, C Sun, X Mu, Z Huang, X Li
Computers in Biology and Medicine 167, 107634, 2023
12023
MORGAT: A Model Based Knowledge-Informed Multi-omics Integration and Robust Graph Attention Network for Molecular Subtyping of Cancer
H Shi, Y Gu, H Zhang, X Li, Y Cao
International Conference on Intelligent Computing, 192-206, 2023
2023
KISL: knowledge-injected semi-supervised learning for biological co-expression network modules
G Xiao, R Guan, Y Cao, Z Huang, Y Xu
Frontiers in Genetics 14, 1151962, 2023
2023
A General Unified Graph Neural Network Framework Against Adversarial Attacks
Y Gu, Y Cao, Q Huang, H Sun
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