Yangkun Cao

According to our database, Yangkun Cao authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

X-LDA: An interpretable and knowledge-informed heterogeneous graph learning framework for LncRNA-disease association prediction.

Yangkun Cao, Jun Xiao, Nan Sheng, Yinwei Qu, Zhihang Wang, Chang Sun, Xuechen Mu, Zhenyu Huang, Xuan Li

Comput. Biol. Medicine, December, 2023

Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases.

Nan Sheng, Yan Wang, Lan Huang, Ling Gao, Yangkun Cao, Xuping Xie, Yuan Fu

Briefings Bioinform., September, 2023

A Survey of Computational Methods and Databases for lncRNA-MiRNA Interaction Prediction.

Nan Sheng, Lan Huang, Ling Gao, Yangkun Cao, Xuping Xie, Yan Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

MORGAT: A Model Based Knowledge-Informed Multi-omics Integration and Robust Graph Attention Network for Molecular Subtyping of Cancer.

Haobo Shi, Yujie Gu, Hengyuan Zhang, Xuan Li, Yangkun Cao

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

Learning multi-scale heterogenous network topologies and various pairwise attributes for drug-disease association prediction.

Hongda Zhang, Hui Cui, Tiangang Zhang, Yangkun Cao, Ping Xuan

Briefings Bioinform., 2022

Multi-channel graph attention autoencoders for disease-related lncRNAs prediction.

Nan Sheng, Lan Huang, Yan Wang, Jing Zhao, Ping Xuan, Ling Gao, Yangkun Cao

Briefings Bioinform., 2022

2021

Autoencoder-based drug-target interaction prediction by preserving the consistency of chemical properties and functions of drugs.

Chang Sun, Yangkun Cao, Jin-Mao Wei, Jian Liu

Bioinform., 2021

2019

Drug repositioning through integration of prior knowledge and projections of drugs and diseases.

Ping Xuan, Yangkun Cao, Tiangang Zhang, Xiao Wang, Shuxiang Pan, Tonghui Shen

Bioinform., 2019