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Tiangang Zhang

Showing results (31-40 of 66) with videos related to

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Frontiers in Pharmacology|September 21, 2023
Graph generative and adversarial strategy-enhanced node feature learning and self-calibrated pairwise attribute encoding for prediction of drug-related side effectsPing Xuan, Kai Xu, Hui Cui, et al.
IEEE Transactions on Computational Biology and Bioinformatics|October 31, 2025
Fourier Transform and Kolmogorov-Arnold Network Enhanced Relation-Aware Generative and Adversarial Network for miRNA-Disease Association PredictionDongliang Chen, Chunxu Xu, Ping Xuan, et al.
BMC Bioinformatics|April 30, 2026
Multi-granularity transformer contrastive learning and feature reconstruction for prediction of disease-related miRNAsPing Xuan, Zhicheng Guo, Siyuan Lu, et al.
Briefings in Bioinformatics|April 26, 2022
Integrating specific and common topologies of heterogeneous graphs and pairwise attributes for drug-related side effect predictionPing Xuan, Meng Wang, Yong Liu, et al.
ACS Omega|October 27, 2025
Hypergraph Learning with Hyperedge Gating and Multiscale Topology Feature Learning for Predicting Disease-Related circRNAsPing Xuan, Runguang Zheng, Hui Cui, et al.
Journal of Chemical Information and Modeling|May 6, 2025
Multi-Knowledge Graph and Multi-View Entity Feature Learning for Predicting Drug-Related Side EffectsPing Xuan, Tianhong Cheng, Hui Cui, et al.
Frontiers in Genetics|June 20, 2019
Gradient Boosting Decision Tree-Based Method for Predicting Interactions Between Target Genes and DrugsPing Xuan, Chang Sun, Tiangang Zhang, et al.
Briefings in Bioinformatics|April 11, 2021
Integrating multi-scale neighbouring topologies and cross-modal similarities for drug-protein interaction predictionPing Xuan, Yu Zhang, Hui Cui, et al.
Bioinformatics (Oxford, England)|March 14, 2019
Drug repositioning through integration of prior knowledge and projections of drugs and diseasesPing Xuan, Yangkun Cao, Tiangang Zhang, et al.
IEEE Journal of Biomedical and Health Informatics|August 20, 2025
A multi-scale neighbor topology guided transformer and Kolmogorov-Arnold network enhanced feature learning model for disease-related circRNA predictionPing Xuan, Haoyuan Li, Hui Cui, et al.
Pageof 7

Showing results (31-40 of 66) with videos related to

Sort By:
Pageof 7
Frontiers in Pharmacology|September 21, 2023
Graph generative and adversarial strategy-enhanced node feature learning and self-calibrated pairwise attribute encoding for prediction of drug-related side effectsPing Xuan, Kai Xu, Hui Cui, et al.
IEEE Transactions on Computational Biology and Bioinformatics|October 31, 2025
Fourier Transform and Kolmogorov-Arnold Network Enhanced Relation-Aware Generative and Adversarial Network for miRNA-Disease Association PredictionDongliang Chen, Chunxu Xu, Ping Xuan, et al.
BMC Bioinformatics|April 30, 2026
Multi-granularity transformer contrastive learning and feature reconstruction for prediction of disease-related miRNAsPing Xuan, Zhicheng Guo, Siyuan Lu, et al.
Briefings in Bioinformatics|April 26, 2022
Integrating specific and common topologies of heterogeneous graphs and pairwise attributes for drug-related side effect predictionPing Xuan, Meng Wang, Yong Liu, et al.
ACS Omega|October 27, 2025
Hypergraph Learning with Hyperedge Gating and Multiscale Topology Feature Learning for Predicting Disease-Related circRNAsPing Xuan, Runguang Zheng, Hui Cui, et al.
Journal of Chemical Information and Modeling|May 6, 2025
Multi-Knowledge Graph and Multi-View Entity Feature Learning for Predicting Drug-Related Side EffectsPing Xuan, Tianhong Cheng, Hui Cui, et al.
Frontiers in Genetics|June 20, 2019
Gradient Boosting Decision Tree-Based Method for Predicting Interactions Between Target Genes and DrugsPing Xuan, Chang Sun, Tiangang Zhang, et al.
Briefings in Bioinformatics|April 11, 2021
Integrating multi-scale neighbouring topologies and cross-modal similarities for drug-protein interaction predictionPing Xuan, Yu Zhang, Hui Cui, et al.
Bioinformatics (Oxford, England)|March 14, 2019
Drug repositioning through integration of prior knowledge and projections of drugs and diseasesPing Xuan, Yangkun Cao, Tiangang Zhang, et al.
IEEE Journal of Biomedical and Health Informatics|August 20, 2025
A multi-scale neighbor topology guided transformer and Kolmogorov-Arnold network enhanced feature learning model for disease-related circRNA predictionPing Xuan, Haoyuan Li, Hui Cui, et al.
Pageof 7