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Yaohang Li

Showing results (51-60 of 73) with videos related to

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Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|January 4, 2026
SAGE: Spatially Aware Gene Selection and Dual-View Embedding Fusion for Domain Identification in Spatial TranscriptomicsYi He, Yunpei Xu, Liqing Ding, et al.
Bioinformatics (Oxford, England)|October 9, 2019
Protein-protein interaction site prediction through combining local and global features with deep neural networksMin Zeng, Fuhao Zhang, Fang-Xiang Wu, et al.
IEEE Journal of Biomedical and Health Informatics|December 12, 2019
Predicting Human lncRNA-Disease Associations Based on Geometric Matrix CompletionChengqian Lu, Mengyun Yang, Min Li, et al.
Briefings in Bioinformatics|February 12, 2020
Biomedical data and computational models for drug repositioning: a comprehensive reviewHuimin Luo, Min Li, Mengyun Yang, et al.
Methods (San Diego, Calif.)|July 14, 2019
A disease inference method based on symptom extraction and bidirectional Long Short Term Memory networksDonglin Guo, Guihua Duan, Ying Yu, et al.
BMC Bioinformatics|September 3, 2016
FLEXc: protein flexibility prediction using context-based statistics, predicted structural features, and sequence informationAshraf Yaseen, Mais Nijim, Brandon Williams, et al.
National Science Review|March 13, 2025
Foundation models in bioinformaticsFei Guo, Renchu Guan, Yaohang Li, et al.
Bioinformatics (Oxford, England)|June 28, 2024
Identifying new cancer genes based on the integration of annotated gene sets via hypergraph neural networksChao Deng, Hong-Dong Li, Li-Shen Zhang, et al.
IEEE Transactions on Nanobioscience|March 9, 2016
A New Method for Predicting Protein Functions From Dynamic Weighted Interactome NetworksBihai Zhao, Jianxin Wang, Min Li, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 12, 2018
Automated ICD-9 Coding via A Deep Learning ApproachMin Li, Zhihui Fei, Min Zeng, et al.
Pageof 8

Showing results (51-60 of 73) with videos related to

Sort By:
Pageof 8
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|January 4, 2026
SAGE: Spatially Aware Gene Selection and Dual-View Embedding Fusion for Domain Identification in Spatial TranscriptomicsYi He, Yunpei Xu, Liqing Ding, et al.
Bioinformatics (Oxford, England)|October 9, 2019
Protein-protein interaction site prediction through combining local and global features with deep neural networksMin Zeng, Fuhao Zhang, Fang-Xiang Wu, et al.
IEEE Journal of Biomedical and Health Informatics|December 12, 2019
Predicting Human lncRNA-Disease Associations Based on Geometric Matrix CompletionChengqian Lu, Mengyun Yang, Min Li, et al.
Briefings in Bioinformatics|February 12, 2020
Biomedical data and computational models for drug repositioning: a comprehensive reviewHuimin Luo, Min Li, Mengyun Yang, et al.
Methods (San Diego, Calif.)|July 14, 2019
A disease inference method based on symptom extraction and bidirectional Long Short Term Memory networksDonglin Guo, Guihua Duan, Ying Yu, et al.
BMC Bioinformatics|September 3, 2016
FLEXc: protein flexibility prediction using context-based statistics, predicted structural features, and sequence informationAshraf Yaseen, Mais Nijim, Brandon Williams, et al.
National Science Review|March 13, 2025
Foundation models in bioinformaticsFei Guo, Renchu Guan, Yaohang Li, et al.
Bioinformatics (Oxford, England)|June 28, 2024
Identifying new cancer genes based on the integration of annotated gene sets via hypergraph neural networksChao Deng, Hong-Dong Li, Li-Shen Zhang, et al.
IEEE Transactions on Nanobioscience|March 9, 2016
A New Method for Predicting Protein Functions From Dynamic Weighted Interactome NetworksBihai Zhao, Jianxin Wang, Min Li, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 12, 2018
Automated ICD-9 Coding via A Deep Learning ApproachMin Li, Zhihui Fei, Min Zeng, et al.
Pageof 8