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Yinhua Piao

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

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IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
Context-Aware Hierarchical Fusion for Drug Relational LearningYijingxiu Lu, Yinhua Piao, Sangseon Lee, et al.
Journal of Chemical Information and Modeling|October 29, 2025
Improving Reaction Yield Prediction with Chemical Atom-Level Reaction LearningYijingxiu Lu, Yinhua Piao, Ming Shen, et al.
International Journal of Molecular Sciences|November 26, 2022
DRPreter: Interpretable Anticancer Drug Response Prediction Using Knowledge-Guided Graph Neural Networks and TransformerJihye Shin, Yinhua Piao, Dongmin Bang, et al.
Scientific Reports|October 3, 2024
ChemAP: predicting drug approval with chemical structures before clinical trial phase by leveraging multi-modal embedding space and knowledge distillationChangyun Cho, Sangseon Lee, Dongmin Bang, et al.
Computational and Structural Biotechnology Journal|May 1, 2024
Multi-layered knowledge graph neural network reveals pathway-level agreement of three breast cancer multi-gene assaysSangseon Lee, Joonhyeong Park, Yinhua Piao, et al.
Computational and Structural Biotechnology Journal|September 2, 2022
On modeling and utilizing chemical compound information with deep learning technologies: A task-oriented approachSangsoo Lim, Sangseon Lee, Yinhua Piao, et al.
Computational and Structural Biotechnology Journal|September 8, 2023
Exploring chemical space for lead identification by propagating on chemical similarity networkJungseob Yi, Sangseon Lee, Sangsoo Lim, et al.
Pageof 1

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

Sort By:
Pageof 1
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
Context-Aware Hierarchical Fusion for Drug Relational LearningYijingxiu Lu, Yinhua Piao, Sangseon Lee, et al.
Journal of Chemical Information and Modeling|October 29, 2025
Improving Reaction Yield Prediction with Chemical Atom-Level Reaction LearningYijingxiu Lu, Yinhua Piao, Ming Shen, et al.
International Journal of Molecular Sciences|November 26, 2022
DRPreter: Interpretable Anticancer Drug Response Prediction Using Knowledge-Guided Graph Neural Networks and TransformerJihye Shin, Yinhua Piao, Dongmin Bang, et al.
Scientific Reports|October 3, 2024
ChemAP: predicting drug approval with chemical structures before clinical trial phase by leveraging multi-modal embedding space and knowledge distillationChangyun Cho, Sangseon Lee, Dongmin Bang, et al.
Computational and Structural Biotechnology Journal|May 1, 2024
Multi-layered knowledge graph neural network reveals pathway-level agreement of three breast cancer multi-gene assaysSangseon Lee, Joonhyeong Park, Yinhua Piao, et al.
Computational and Structural Biotechnology Journal|September 2, 2022
On modeling and utilizing chemical compound information with deep learning technologies: A task-oriented approachSangsoo Lim, Sangseon Lee, Yinhua Piao, et al.
Computational and Structural Biotechnology Journal|September 8, 2023
Exploring chemical space for lead identification by propagating on chemical similarity networkJungseob Yi, Sangseon Lee, Sangsoo Lim, et al.
Pageof 1