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Bing-Xue Du

Showing results (1-10 of 7) with videos related to

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Methods (San Diego, Calif.)|January 6, 2024
DMGL-MDA: A dual-modal graph learning method for microbe-drug association predictionBei Zhu, Hao-Yang Yu, Bing-Xue Du, et al.
Bioinformatics (Oxford, England)|August 12, 2023
CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learningBing-Xue Du, Yahui Long, Xiaoli Li, et al.
Iscience|November 29, 2023
ADMET property prediction via multi-task graph learning under adaptive auxiliary task selectionBing-Xue Du, Yi Xu, Siu-Ming Yiu, et al.
Methods (San Diego, Calif.)|February 28, 2025
A novel interpretability framework for enzyme turnover number prediction boosted by pre-trained enzyme embeddings and adaptive gate networkBing-Xue Du, Haoyang Yu, Bei Zhu, et al.
Drug Discovery Today|March 6, 2022
Compound-protein interaction prediction by deep learning: Databases, descriptors and modelsBing-Xue Du, Yuan Qin, Yan-Feng Jiang, et al.
Bioinformatics (Oxford, England)|June 27, 2022
MLGL-MP: a Multi-Label Graph Learning framework enhanced by pathway interdependence for Metabolic Pathway predictionBing-Xue Du, Peng-Cheng Zhao, Bei Zhu, et al.
Interdisciplinary Sciences, Computational Life Sciences|January 6, 2025
MTGGF: A Metabolism Type-Aware Graph Generative Model for Molecular Metabolite PredictionPeng-Cheng Zhao, Xue-Xin Wei, Qiong Wang, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Methods (San Diego, Calif.)|January 6, 2024
DMGL-MDA: A dual-modal graph learning method for microbe-drug association predictionBei Zhu, Hao-Yang Yu, Bing-Xue Du, et al.
Bioinformatics (Oxford, England)|August 12, 2023
CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learningBing-Xue Du, Yahui Long, Xiaoli Li, et al.
Iscience|November 29, 2023
ADMET property prediction via multi-task graph learning under adaptive auxiliary task selectionBing-Xue Du, Yi Xu, Siu-Ming Yiu, et al.
Methods (San Diego, Calif.)|February 28, 2025
A novel interpretability framework for enzyme turnover number prediction boosted by pre-trained enzyme embeddings and adaptive gate networkBing-Xue Du, Haoyang Yu, Bei Zhu, et al.
Drug Discovery Today|March 6, 2022
Compound-protein interaction prediction by deep learning: Databases, descriptors and modelsBing-Xue Du, Yuan Qin, Yan-Feng Jiang, et al.
Bioinformatics (Oxford, England)|June 27, 2022
MLGL-MP: a Multi-Label Graph Learning framework enhanced by pathway interdependence for Metabolic Pathway predictionBing-Xue Du, Peng-Cheng Zhao, Bei Zhu, et al.
Interdisciplinary Sciences, Computational Life Sciences|January 6, 2025
MTGGF: A Metabolism Type-Aware Graph Generative Model for Molecular Metabolite PredictionPeng-Cheng Zhao, Xue-Xin Wei, Qiong Wang, et al.
Pageof 1