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Yangkun Cao

Dual Convolutional Neural Networks With Attention Mechanisms Based Method for Predicting Disease-Related lncRNA Genes
2019 · Ping Xuan, Yangkun Cao, et al. · Frontiers in Genetics · 87
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Drug repositioning through integration of prior knowledge and projections of drugs and diseases
2019 · Ping Xuan, Yangkun Cao, et al. · Bioinformatics · 81
Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases
2023 · Nan Sheng, Yan Wang, et al. · Briefings in Bioinformatics · 61
Autoencoder-based drug–target interaction prediction by preserving the consistency of chemical properties and functions of drugs
2021 · Chang Sun, Yangkun Cao, et al. · Bioinformatics · 45
Molecular Subtyping of Cancer Based on Robust Graph Neural Network and Multi-Omics Data Integration
2022 · Chaoyi Yin, Yangkun Cao, et al. · Frontiers in Genetics · 39
Multi-channel graph attention autoencoders for disease-related lncRNAs prediction
2022 · Nan Sheng, Lan Huang, et al. · Briefings in Bioinformatics · 29
A Survey of Computational Methods and Databases for lncRNA-MiRNA Interaction Prediction
2023 · Nan Sheng, Lan Huang, et al. · IEEE Transactions on Computational Biology and Bioinformatics · 22
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Learning multi-scale heterogenous network topologies and various pairwise attributes for drug–disease association prediction
2022 · Hongda Zhang, Hui Cui, et al. · Briefings in Bioinformatics · 20
Identification of Cancer Driver Genes by Integrating Multiomics Data with Graph Neural Networks
2023 · Hongzhi Song, Chaoyi Yin, et al. · Metabolites · 18
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X-LDA: An interpretable and knowledge-informed heterogeneous graph learning framework for LncRNA-disease association prediction
2023 · Yangkun Cao, Jun Xiao, et al. · Computers in Biology and Medicine · 8
Predicting miRNA-disease associations based on multi-view information fusion
2022 · Xuping Xie, Yan Wang, et al. · Frontiers in Genetics · 8
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Elucidation of Factors Affecting the Age-Dependent Cancer Occurrence Rates
2024 · Jun Xiao, Yangkun Cao, et al. · International Journal of Molecular Sciences · 5
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FR-BINN: Biologically Informed Neural Networks for Enhanced Biomarker Discovery and Pathway Analysis
2025 · Yangkun Cao, Chaoyi Yin, et al. · International Journal of Molecular Sciences · 3
KISL: knowledge-injected semi-supervised learning for biological co-expression network modules
2023 · Gangyi Xiao, Renchu Guan, et al. · Frontiers in Genetics · 3
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MORGAT: A Model Based Knowledge-Informed Multi-omics Integration and Robust Graph Attention Network for Molecular Subtyping of Cancer
2023 · Haobo Shi, Yujie Gu, et al. · Lecture notes in computer science · 2
Exploring the prognostic role of senescence-related genes in gastric cancer through multi-omics integration and machine learning
2026 · Yangkun Cao, Dongjie Li, et al. · Human Genomics · 1
Optimizing Model Performance and Interpretability: Application to Biological Data Classification
2025 · Zhenyu Huang, Xuechen Mu, et al. · Genes · 1
Enhanced enzymatic hydrolysis of chitosan via MOF-mediated activation of chitosanase
2026 · Wanting Li, Yangkun Cao, et al. · Carbohydrate Polymers
Optimizing Model Performance and Interpretability: an application to biological data classification
2024 · Zhenyu Huang, Yangkun Cao, et al. · Research Square
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Estimating Individual Causal Treatment Effect by Variable Decomposition
2024 · Hongyang Jiang, Yonghe Zhao, et al.
Works count: 20
Citation count: 433
H-index: 9
I10-index: 9
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