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Xuehua Bi

Showing results (1-10 of 12) with videos related to

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Bioinformatics (Oxford, England)|June 28, 2024
DDAffinity: predicting the changes in binding affinity of multiple point mutations using protein 3D structureGuanglei Yu, Qichang Zhao, Xuehua Bi, et al.
Bioinformatics (Oxford, England)|November 9, 2023
SSLpheno: a self-supervised learning approach for gene-phenotype association prediction using protein-protein interactions and gene ontology dataXuehua Bi, Weiyang Liang, Qichang Zhao, et al.
Methods (San Diego, Calif.)|April 12, 2024
DTKGIN: Predicting drug-target interactions based on knowledge graph and intent graphYi Luo, Guihua Duan, Qichang Zhao, et al.
BMC Bioinformatics|February 18, 2025
MFCADTI: improving drug-target interaction prediction by integrating multiple feature through cross attention mechanismNa Quan, Shicheng Ma, Kai Zhao, et al.
Bioinformatics (Oxford, England)|July 15, 2025
CATH-ddG: towards robust mutation effect prediction on protein-protein interactions out of CATH homologous superfamilyGuanglei Yu, Xuehua Bi, Teng Ma, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|July 1, 2025
MFF-HPO: Protein-Phenotype Associations Prediction Based on Sequence Using Multi-Feature FusionXuehua Bi, Zhuocheng Ji, Linlin Zhang, et al.
BMC Medical Informatics and Decision Making|January 16, 2022
Prediction and risk stratification from hospital discharge records based on Hierarchical sLDAGuanglei Yu, Linlin Zhang, Ying Zhang, et al.
BMC Bioinformatics|April 21, 2023
Predicting disease genes based on multi-head attention fusionLinlin Zhang, Dianrong Lu, Xuehua Bi, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 28, 2024
ESGC-MDA: Identifying miRNA-disease associations using enhanced Simple Graph Convolutional NetworksXuehua Bi, Chunyang Jiang, Cheng Yan, et al.
BMC Bioinformatics|April 23, 2025
HPOseq: a deep ensemble model for predicting the protein-phenotype relationships based on protein sequencesKai Zhao, Zhuocheng Ji, Linlin Zhang, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Bioinformatics (Oxford, England)|June 28, 2024
DDAffinity: predicting the changes in binding affinity of multiple point mutations using protein 3D structureGuanglei Yu, Qichang Zhao, Xuehua Bi, et al.
Bioinformatics (Oxford, England)|November 9, 2023
SSLpheno: a self-supervised learning approach for gene-phenotype association prediction using protein-protein interactions and gene ontology dataXuehua Bi, Weiyang Liang, Qichang Zhao, et al.
Methods (San Diego, Calif.)|April 12, 2024
DTKGIN: Predicting drug-target interactions based on knowledge graph and intent graphYi Luo, Guihua Duan, Qichang Zhao, et al.
BMC Bioinformatics|February 18, 2025
MFCADTI: improving drug-target interaction prediction by integrating multiple feature through cross attention mechanismNa Quan, Shicheng Ma, Kai Zhao, et al.
Bioinformatics (Oxford, England)|July 15, 2025
CATH-ddG: towards robust mutation effect prediction on protein-protein interactions out of CATH homologous superfamilyGuanglei Yu, Xuehua Bi, Teng Ma, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|July 1, 2025
MFF-HPO: Protein-Phenotype Associations Prediction Based on Sequence Using Multi-Feature FusionXuehua Bi, Zhuocheng Ji, Linlin Zhang, et al.
BMC Medical Informatics and Decision Making|January 16, 2022
Prediction and risk stratification from hospital discharge records based on Hierarchical sLDAGuanglei Yu, Linlin Zhang, Ying Zhang, et al.
BMC Bioinformatics|April 21, 2023
Predicting disease genes based on multi-head attention fusionLinlin Zhang, Dianrong Lu, Xuehua Bi, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 28, 2024
ESGC-MDA: Identifying miRNA-disease associations using enhanced Simple Graph Convolutional NetworksXuehua Bi, Chunyang Jiang, Cheng Yan, et al.
BMC Bioinformatics|April 23, 2025
HPOseq: a deep ensemble model for predicting the protein-phenotype relationships based on protein sequencesKai Zhao, Zhuocheng Ji, Linlin Zhang, et al.
Pageof 2