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Frontiers in Bioengineering and Biotechnology
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June 20, 2022
Identification of Type 2 Diabetes Biomarkers From Mixed Single-Cell Sequencing Data With Feature Selection Methods
Zhandong Li, Xiaoyong Pan, Yu-Dong Cai
Current Opinion in Structural Biology
|
March 6, 2024
A comprehensive survey on protein-ligand binding site prediction
Ying Xia, Xiaoyong Pan, Hong-Bin Shen
Bioinformatics (Oxford, England)
|
February 25, 2021
lncLocator 2.0: a cell-line-specific subcellular localization predictor for long non-coding RNAs with interpretable deep learning
Yang Lin, Xiaoyong Pan, Hong-Bin Shen
Bioinformatics (Oxford, England)
|
March 24, 2023
De novo drug design by iterative multiobjective deep reinforcement learning with graph-based molecular quality assessment
Yi Fang, Xiaoyong Pan, Hong-Bin Shen
Biochimica Et Biophysica Acta. Proteins and Proteomics
|
June 29, 2020
Predicting protein subcellular location with network embedding and enrichment features
Xiaoyong Pan, Lin Lu, Yu-Dong Cai
Structure (London, England : 1993)
|
March 6, 2024
Heterogeneous sampled subgraph neural networks with knowledge distillation to enhance double-blind compound-protein interaction prediction
Ying Xia, Xiaoyong Pan, Hong-Bin Shen
Scientific Reports
|
July 22, 2017
Observation of aggregation triggered by Resonance Energy Transfer (RET) induced intermolecular pairing force
Xiaoyong Pan, Weizhi Wang, Lin Ke, et al.
Briefings in Bioinformatics
|
March 13, 2025
DRAG: design RNAs as hierarchical graphs with reinforcement learning
Yichong Li, Xiaoyong Pan, Hongbin Shen, et al.
Interdisciplinary Sciences, Computational Life Sciences
|
February 17, 2025
MVGNCDA: Identifying Potential circRNA-Disease Associations Based on Multi-view Graph Convolutional Networks and Network Embeddings
Guicong Sun, Mengxin Zheng, Yongxian Fan, et al.
Patterns (New York, N.Y.)
|
June 27, 2025
Discovering the nuclear localization signal universe through a deep learning model with interpretable attention units
Yi-Fan Li, Xiaoyong Pan, Hong-Bin Shen
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of 12
Search research articles
Search
Showing results (11-20 of 115) with videos related to
Sort By:
Page
of 12
Frontiers in Bioengineering and Biotechnology
|
June 20, 2022
Identification of Type 2 Diabetes Biomarkers From Mixed Single-Cell Sequencing Data With Feature Selection Methods
Zhandong Li, Xiaoyong Pan, Yu-Dong Cai
Current Opinion in Structural Biology
|
March 6, 2024
A comprehensive survey on protein-ligand binding site prediction
Ying Xia, Xiaoyong Pan, Hong-Bin Shen
Bioinformatics (Oxford, England)
|
February 25, 2021
lncLocator 2.0: a cell-line-specific subcellular localization predictor for long non-coding RNAs with interpretable deep learning
Yang Lin, Xiaoyong Pan, Hong-Bin Shen
Bioinformatics (Oxford, England)
|
March 24, 2023
De novo drug design by iterative multiobjective deep reinforcement learning with graph-based molecular quality assessment
Yi Fang, Xiaoyong Pan, Hong-Bin Shen
Biochimica Et Biophysica Acta. Proteins and Proteomics
|
June 29, 2020
Predicting protein subcellular location with network embedding and enrichment features
Xiaoyong Pan, Lin Lu, Yu-Dong Cai
Structure (London, England : 1993)
|
March 6, 2024
Heterogeneous sampled subgraph neural networks with knowledge distillation to enhance double-blind compound-protein interaction prediction
Ying Xia, Xiaoyong Pan, Hong-Bin Shen
Scientific Reports
|
July 22, 2017
Observation of aggregation triggered by Resonance Energy Transfer (RET) induced intermolecular pairing force
Xiaoyong Pan, Weizhi Wang, Lin Ke, et al.
Briefings in Bioinformatics
|
March 13, 2025
DRAG: design RNAs as hierarchical graphs with reinforcement learning
Yichong Li, Xiaoyong Pan, Hongbin Shen, et al.
Interdisciplinary Sciences, Computational Life Sciences
|
February 17, 2025
MVGNCDA: Identifying Potential circRNA-Disease Associations Based on Multi-view Graph Convolutional Networks and Network Embeddings
Guicong Sun, Mengxin Zheng, Yongxian Fan, et al.
Patterns (New York, N.Y.)
|
June 27, 2025
Discovering the nuclear localization signal universe through a deep learning model with interpretable attention units
Yi-Fan Li, Xiaoyong Pan, Hong-Bin Shen
Page
of 12