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Yangkun Cao
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2020 – today
- 2023
- [j7]Nan Sheng
, Yan Wang, Lan Huang, Ling Gao, Yangkun Cao
, Xuping Xie, Yuan Fu:
Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases. Briefings Bioinform. 24(5) (2023) - [j6]Yangkun Cao
, Jun Xiao, Nan Sheng
, Yinwei Qu, Zhihang Wang, Chang Sun, Xuechen Mu, Zhenyu Huang
, Xuan Li
:
X-LDA: An interpretable and knowledge-informed heterogeneous graph learning framework for LncRNA-disease association prediction. Comput. Biol. Medicine 167: 107634 (2023) - [j5]Nan Sheng
, Lan Huang
, Ling Gao, Yangkun Cao
, Xuping Xie, Yan Wang
:
A Survey of Computational Methods and Databases for lncRNA-MiRNA Interaction Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2810-2826 (2023) - [c1]Haobo Shi
, Yujie Gu, Hengyuan Zhang, Xuan Li, Yangkun Cao
:
MORGAT: A Model Based Knowledge-Informed Multi-omics Integration and Robust Graph Attention Network for Molecular Subtyping of Cancer. ICIC (3) 2023: 192-206 - 2022
- [j4]Nan Sheng
, Lan Huang, Yan Wang, Jing Zhao, Ping Xuan, Ling Gao, Yangkun Cao:
Multi-channel graph attention autoencoders for disease-related lncRNAs prediction. Briefings Bioinform. 23(2) (2022) - [j3]Hongda Zhang, Hui Cui, Tiangang Zhang, Yangkun Cao, Ping Xuan:
Learning multi-scale heterogenous network topologies and various pairwise attributes for drug-disease association prediction. Briefings Bioinform. 23(2) (2022) - 2021
- [j2]Chang Sun
, Yangkun Cao, Jin-Mao Wei, Jian Liu:
Autoencoder-based drug-target interaction prediction by preserving the consistency of chemical properties and functions of drugs. Bioinform. 37(20): 3618-3625 (2021)
2010 – 2019
- 2019
- [j1]Ping Xuan
, Yangkun Cao, Tiangang Zhang, Xiao Wang, Shuxiang Pan, Tonghui Shen:
Drug repositioning through integration of prior knowledge and projections of drugs and diseases. Bioinform. 35(20): 4108-4119 (2019)
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