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Lijun Quan

Showing results (31-40 of 45) with videos related to

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Journal of Chemical Information and Modeling|July 22, 2025
AACDR: Integrating Graph Isomorphism Networks and Asymmetric Adversarial Domain Adaptation for Cancer Drug Response PredictionYi Zhang, Tingfang Wu, Liangpeng Nie, et al.
Journal of Chemical Information and Modeling|June 13, 2025
MMSol: Predicting Protein Solubility with an Antinoise Multimodal Deep ModelJia Xu, Tingfang Wu, Yelu Jiang, et al.
Journal of Chemical Information and Modeling|August 22, 2025
MetaMBP: Few-Shot Multilabel Prediction of Bioactive Peptides Based on Deep Metric Meta-LearningZhenglong Zhou, Tingfang Wu, Yelu Jiang, et al.
Journal of Chemical Information and Modeling|June 26, 2025
AffiGrapher: Contrastive Heterogeneous Graph Learning with Aromatic Virtual Nodes for RNA-Small Molecule Binding Affinity PredictionJunkai Wang, Jian Wu, Zhijun Zhang, et al.
Journal of Chemical Information and Modeling|November 18, 2025
MAPCliff-WMGR: Exploring Activity Cliffs in Molecular Activity Prediction Enhanced by Weighted Molecular Graph RepresentationsYiwei Chen, Tingfang Wu, Yelu Jiang, et al.
IEEE Journal of Biomedical and Health Informatics|May 13, 2024
MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites PredictionJunkai Wang, Lijun Quan, Zhi Jin, et al.
Briefings in Bioinformatics|May 25, 2026
Identifying batch-integrated domains from spatial transcriptomics via graph autoencoder with contrastive learning based on cross-modality and data augmentationYexuan Mao, Lijun Quan, Xiangyu Chen, et al.
The Science of the Total Environment|January 1, 2021
Identifying dust as the dominant source of exposure to heavy metals for residents around battery factories in the Battery Industrial Capital of ChinaMohai Shen, Meihui Ren, Yange Wang, et al.
Nature Communications|August 19, 2025
LABind: identifying protein binding ligand-aware sites via learning interactions between ligand and proteinZhijun Zhang, Lijun Quan, Junkai Wang, et al.
Journal of Chemical Information and Modeling|January 15, 2025
MVCL-DTI: Predicting Drug-Target Interactions Using a Multiview Contrastive Learning Model on a Heterogeneous GraphBei Zhang, Lijun Quan, Zhijun Zhang, et al.
Pageof 5

Showing results (31-40 of 45) with videos related to

Sort By:
Pageof 5
Journal of Chemical Information and Modeling|July 22, 2025
AACDR: Integrating Graph Isomorphism Networks and Asymmetric Adversarial Domain Adaptation for Cancer Drug Response PredictionYi Zhang, Tingfang Wu, Liangpeng Nie, et al.
Journal of Chemical Information and Modeling|June 13, 2025
MMSol: Predicting Protein Solubility with an Antinoise Multimodal Deep ModelJia Xu, Tingfang Wu, Yelu Jiang, et al.
Journal of Chemical Information and Modeling|August 22, 2025
MetaMBP: Few-Shot Multilabel Prediction of Bioactive Peptides Based on Deep Metric Meta-LearningZhenglong Zhou, Tingfang Wu, Yelu Jiang, et al.
Journal of Chemical Information and Modeling|June 26, 2025
AffiGrapher: Contrastive Heterogeneous Graph Learning with Aromatic Virtual Nodes for RNA-Small Molecule Binding Affinity PredictionJunkai Wang, Jian Wu, Zhijun Zhang, et al.
Journal of Chemical Information and Modeling|November 18, 2025
MAPCliff-WMGR: Exploring Activity Cliffs in Molecular Activity Prediction Enhanced by Weighted Molecular Graph RepresentationsYiwei Chen, Tingfang Wu, Yelu Jiang, et al.
IEEE Journal of Biomedical and Health Informatics|May 13, 2024
MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites PredictionJunkai Wang, Lijun Quan, Zhi Jin, et al.
Briefings in Bioinformatics|May 25, 2026
Identifying batch-integrated domains from spatial transcriptomics via graph autoencoder with contrastive learning based on cross-modality and data augmentationYexuan Mao, Lijun Quan, Xiangyu Chen, et al.
The Science of the Total Environment|January 1, 2021
Identifying dust as the dominant source of exposure to heavy metals for residents around battery factories in the Battery Industrial Capital of ChinaMohai Shen, Meihui Ren, Yange Wang, et al.
Nature Communications|August 19, 2025
LABind: identifying protein binding ligand-aware sites via learning interactions between ligand and proteinZhijun Zhang, Lijun Quan, Junkai Wang, et al.
Journal of Chemical Information and Modeling|January 15, 2025
MVCL-DTI: Predicting Drug-Target Interactions Using a Multiview Contrastive Learning Model on a Heterogeneous GraphBei Zhang, Lijun Quan, Zhijun Zhang, et al.
Pageof 5