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IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 5, 2024
Exploring ncRNA-Drug Sensitivity Associations via Graph Contrastive LearningXiaowen Hu, Ying Jiang, Lei Deng
Journal of Chemical Information and Modeling|June 9, 2023
ABLNCPP: Attention Mechanism-Based Bidirectional Long Short-Term Memory for Noncoding RNA Coding Potential PredictionLei Deng, Ying Jiang, Xiaowen Hu, et al.
IEEE Journal of Biomedical and Health Informatics|November 3, 2023
AntiViralDL: Computational Antiviral Drug Repurposing Using Graph Neural Network and Self-Supervised LearningPan Zhang, Xiaowen Hu, Guangdi Li, et al.
Journal of Chemical Information and Modeling|September 7, 2023
HGCLMDA: Predicting mRNA-Drug Sensitivity Associations via Hypergraph Contrastive LearningXiaowen Hu, Yihan Dong, Jiaxuan Zhang, et al.
IEEE Journal of Biomedical and Health Informatics|June 27, 2024
DeepFusionCDR: Employing Multi-Omics Integration and Molecule-Specific Transformers for Enhanced Prediction of Cancer Drug ResponsesXiaowen Hu, Pan Zhang, Jiaxuan Zhang, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
AGCLNDA: Enhancing the Prediction of ncRNA-Drug Resistance Association Using Adaptive Graph Contrastive LearningYanhao Fan, Che Zhang, Xiaowen Hu, et al.
Journal of Chemical Information and Modeling|November 4, 2025
AGDNGDA: Unraveling Drug-Associated Genes with Adaptive Graph Diffusion NetworksXiaowen Hu, Che Zhang, Yanhao Fan, et al.
Briefings in Bioinformatics|May 16, 2024
SGCLDGA: unveiling drug-gene associations through simple graph contrastive learningYanhao Fan, Che Zhang, Xiaowen Hu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 7, 2023
HGNNLDA: Predicting lncRNA-Drug Sensitivity Associations via a Dual Channel Hypergraph Neural NetworkDayun Liu, Xianghui Li, Liangliang Zhang, et al.
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