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Briefings in Bioinformatics|January 20, 2024
MHCLMDA: multihypergraph contrastive learning for miRNA-disease association predictionWei Peng, Zhichen He, Wei Dai, et al.Frontiers in Cell and Developmental Biology|June 28, 2021
Predicting miRNA-Disease Association Based on Modularity Preserving Heterogeneous Network EmbeddingWei Peng, Jielin Du, Wei Dai, et al.IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 1, 2022
Predicting miRNA-Disease Associations From miRNA-Gene-Disease Heterogeneous Network With Multi-Relational Graph Convolutional Network ModelWei Peng, Zicheng Che, Wei Dai, et al.Computers in Biology and Medicine|April 6, 2023
Improving drug response prediction based on two-space graph convolutionWei Peng, Tielin Chen, Hancheng Liu, et al.BMC Bioinformatics|July 3, 2026
SpaHNR: a spatial domain identification method via sparse attention-based hierarchical node representation and multi-view contrastive learningWei Peng, Zhihao Ping, Wei Dai, et al.IEEE Transactions on Computational Biology and Bioinformatics|July 3, 2026
Improving Cancer Driver Gene Prediction using Biological knowledge-guided Prompts for LLMTao Yuan, Wei Peng, Wei Dai, et al.Health Information Science and Systems|December 11, 2024
Prediction of miRNA-disease association based on heterogeneous hypergraph convolution and heterogeneous graph multi-scale convolutionWei Dai, Sifan Pang, Zhichen He, et al.IEEE Journal of Biomedical and Health Informatics|August 4, 2021
Predicting Drug Response Based on Multi-Omics Fusion and Graph ConvolutionWei Peng, Tielin Chen, Wei DaiBriefings in Bioinformatics|October 13, 2021
Improving cancer driver gene identification using multi-task learning on graph convolutional networkWei Peng, Qi Tang, Wei Dai, et al.BMC Bioinformatics|January 13, 2023
Identifying cancer driver genes based on multi-view heterogeneous graph convolutional network and self-attention mechanismWei Peng, Rong Wu, Wei Dai, et al.Pageof 509