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Daohui Ge

Showing results (1-10 of 9) with videos related to

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IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
RPMVCDA: Random Perturbation and Multi-View Graph Convolutional Networks for CircRNA-Disease Association PredictionXin He, Junliang Shang, Daohui Ge, et al.
Interdisciplinary Sciences, Computational Life Sciences|July 4, 2023
scFED: Clustering Identifying Cell Types of scRNA-Seq Data Based on Feature Engineering DenoisingYang Liu, Feng Li, Junliang Shang, et al.
IEEE Journal of Biomedical and Health Informatics|September 5, 2025
Epileptic Seizure Prediction Using Multi-Strategy Data Augmentation and Hierarchical Contrastive LearningLongfei Qi, Feng Li, Junliang Shang, et al.
Quantitative Biology (Beijing, China)|February 12, 2026
A feature extraction framework for discovering pan-cancer driver genes based on multi-omics dataXiaomeng Xue, Feng Li, Junliang Shang, et al.
BMC Genomics|May 24, 2023
ETGPDA: identification of piRNA-disease associations based on embedding transformation graph convolutional networkXianghan Meng, Junliang Shang, Daohui Ge, et al.
IEEE Journal of Biomedical and Health Informatics|June 4, 2025
MSHGCL: Multi-Scale Hierarchical Graph Contrastive Learning for Drug-Drug InteractionsDaohui Ge, Xueyan Song, Guangshun Zhang, et al.
International Journal of Neural Systems|November 19, 2024
A Modified Transformer Network for Seizure Detection Using EEG SignalsWenrong Hu, Juan Wang, Feng Li, et al.
IEEE Journal of Biomedical and Health Informatics|September 9, 2024
SGFCCDA: Scale Graph Convolutional Networks and Feature Convolution for circRNA-Disease Association PredictionJunliang Shang, Linqian Zhao, Xin He, et al.
IEEE Journal of Biomedical and Health Informatics|September 26, 2024
pscAdapt: Pre-Trained Domain Adaptation Network Based on Structural Similarity for Cell Type Annotation in Single Cell RNA-seq DataYan Zhao, Junliang Shang, Baojuan Qin, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
RPMVCDA: Random Perturbation and Multi-View Graph Convolutional Networks for CircRNA-Disease Association PredictionXin He, Junliang Shang, Daohui Ge, et al.
Interdisciplinary Sciences, Computational Life Sciences|July 4, 2023
scFED: Clustering Identifying Cell Types of scRNA-Seq Data Based on Feature Engineering DenoisingYang Liu, Feng Li, Junliang Shang, et al.
IEEE Journal of Biomedical and Health Informatics|September 5, 2025
Epileptic Seizure Prediction Using Multi-Strategy Data Augmentation and Hierarchical Contrastive LearningLongfei Qi, Feng Li, Junliang Shang, et al.
Quantitative Biology (Beijing, China)|February 12, 2026
A feature extraction framework for discovering pan-cancer driver genes based on multi-omics dataXiaomeng Xue, Feng Li, Junliang Shang, et al.
BMC Genomics|May 24, 2023
ETGPDA: identification of piRNA-disease associations based on embedding transformation graph convolutional networkXianghan Meng, Junliang Shang, Daohui Ge, et al.
IEEE Journal of Biomedical and Health Informatics|June 4, 2025
MSHGCL: Multi-Scale Hierarchical Graph Contrastive Learning for Drug-Drug InteractionsDaohui Ge, Xueyan Song, Guangshun Zhang, et al.
International Journal of Neural Systems|November 19, 2024
A Modified Transformer Network for Seizure Detection Using EEG SignalsWenrong Hu, Juan Wang, Feng Li, et al.
IEEE Journal of Biomedical and Health Informatics|September 9, 2024
SGFCCDA: Scale Graph Convolutional Networks and Feature Convolution for circRNA-Disease Association PredictionJunliang Shang, Linqian Zhao, Xin He, et al.
IEEE Journal of Biomedical and Health Informatics|September 26, 2024
pscAdapt: Pre-Trained Domain Adaptation Network Based on Structural Similarity for Cell Type Annotation in Single Cell RNA-seq DataYan Zhao, Junliang Shang, Baojuan Qin, et al.
Pageof 1