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 | 74 | 2019 |
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 | 59 | 2019 |
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 | 29 | 2021 |
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 | 23 | 2022 |
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 | 17 | 2022 |
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 | 10 | 2022 |
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 | 7 | 2023 |
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 | 6 | 2022 |
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 | 5 | 2023 |
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 | 4 | 2023 |
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 | 1 | 2023 |
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 | | |