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Qiguo Dai

Showing results (1-10 of 28) with videos related to

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IEEE Transactions on Computational Biology and Bioinformatics|April 8, 2026
DGAE: Dynamic Graph Convolutional Network for Multi-Slice Spatial Transcriptomics Alignment and EnhancementAoran Li, Runqing Wang, Xiaodong Duan, et al.
Briefings in Bioinformatics|December 22, 2024
stHGC: a self-supervised graph representation learning for spatial domain recognition with hybrid graph and spatial regularizationRunqing Wang, Qiguo Dai, Xiaodong Duan, et al.
IEEE Journal of Biomedical and Health Informatics|January 31, 2024
Hierarchical Negative Sampling Based Graph Contrastive Learning Approach for Drug-Disease Association PredictionYuanxu Wang, Jinmiao Song, Qiguo Dai, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 20, 2021
DHNLDA: A Novel Deep Hierarchical Network Based Method for Predicting lncRNA-Disease AssociationsFansen Xie, Ziqi Yang, Jinmiao Song, et al.
IEEE Journal of Biomedical and Health Informatics|July 27, 2023
Predicting circRNA-Drug Resistance Associations Based on a Multimodal Graph Representation Learning FrameworkZiqiang Liu, Qiguo Dai, Xianhai Yu, et al.
Computers in Biology and Medicine|March 16, 2023
Constructing discriminative feature space for LncRNA-protein interaction based on deep autoencoder and marginal fisher analysisZhixia Teng, Yiran Zhang, Qiguo Dai, et al.
Frontiers in Genetics|February 19, 2019
Construction of Complex Features for Computational Predicting ncRNA-Protein InteractionQiguo Dai, Maozu Guo, Xiaodong Duan, et al.
Briefings in Bioinformatics|September 7, 2022
GraphCDA: a hybrid graph representation learning framework based on GCN and GAT for predicting disease-associated circRNAsQiguo Dai, Ziqiang Liu, Zhaowei Wang, et al.
Interdisciplinary Sciences, Computational Life Sciences|April 3, 2025
Self-Supervised Graph Representation Learning for Single-Cell ClassificationQiguo Dai, Wuhao Liu, Xianhai Yu, et al.
Artificial Intelligence in Medicine|March 10, 2026
Twin cross contrastive learning with multi-modality fusion for drug-target affinity predictionLinna Zhang, Zhaowei Wang, Wuhao Liu, et al.
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Computational Biology and Bioinformatics|April 8, 2026
DGAE: Dynamic Graph Convolutional Network for Multi-Slice Spatial Transcriptomics Alignment and EnhancementAoran Li, Runqing Wang, Xiaodong Duan, et al.
Briefings in Bioinformatics|December 22, 2024
stHGC: a self-supervised graph representation learning for spatial domain recognition with hybrid graph and spatial regularizationRunqing Wang, Qiguo Dai, Xiaodong Duan, et al.
IEEE Journal of Biomedical and Health Informatics|January 31, 2024
Hierarchical Negative Sampling Based Graph Contrastive Learning Approach for Drug-Disease Association PredictionYuanxu Wang, Jinmiao Song, Qiguo Dai, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 20, 2021
DHNLDA: A Novel Deep Hierarchical Network Based Method for Predicting lncRNA-Disease AssociationsFansen Xie, Ziqi Yang, Jinmiao Song, et al.
IEEE Journal of Biomedical and Health Informatics|July 27, 2023
Predicting circRNA-Drug Resistance Associations Based on a Multimodal Graph Representation Learning FrameworkZiqiang Liu, Qiguo Dai, Xianhai Yu, et al.
Computers in Biology and Medicine|March 16, 2023
Constructing discriminative feature space for LncRNA-protein interaction based on deep autoencoder and marginal fisher analysisZhixia Teng, Yiran Zhang, Qiguo Dai, et al.
Frontiers in Genetics|February 19, 2019
Construction of Complex Features for Computational Predicting ncRNA-Protein InteractionQiguo Dai, Maozu Guo, Xiaodong Duan, et al.
Briefings in Bioinformatics|September 7, 2022
GraphCDA: a hybrid graph representation learning framework based on GCN and GAT for predicting disease-associated circRNAsQiguo Dai, Ziqiang Liu, Zhaowei Wang, et al.
Interdisciplinary Sciences, Computational Life Sciences|April 3, 2025
Self-Supervised Graph Representation Learning for Single-Cell ClassificationQiguo Dai, Wuhao Liu, Xianhai Yu, et al.
Artificial Intelligence in Medicine|March 10, 2026
Twin cross contrastive learning with multi-modality fusion for drug-target affinity predictionLinna Zhang, Zhaowei Wang, Wuhao Liu, et al.
Pageof 3