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Bioinformatics (Oxford, England)
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November 9, 2023
SSLpheno: a self-supervised learning approach for gene-phenotype association prediction using protein-protein interactions and gene ontology data
Xuehua Bi, Weiyang Liang, Qichang Zhao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
October 9, 2024
A Knowledge Graph-Based Method for Drug-Drug Interaction Prediction With Contrastive Learning
Jian Zhong, Haochen Zhao, Qichang Zhao, et al.
Methods (San Diego, Calif.)
|
April 12, 2024
DTKGIN: Predicting drug-target interactions based on knowledge graph and intent graph
Yi Luo, Guihua Duan, Qichang Zhao, et al.
Briefings in Bioinformatics
|
November 4, 2020
Computational drug repositioning based on multi-similarities bilinear matrix factorization
Mengyun Yang, Gaoyan Wu, Qichang Zhao, et al.
IEEE Journal of Biomedical and Health Informatics
|
July 24, 2025
MRLF-DDI: A Multi-view Representation Learning Framework for Drug-Drug Interaction Event Prediction
Jian Zhong, Haochen Zhao, Xiao Liang, et al.
IEEE Journal of Biomedical and Health Informatics
|
October 6, 2025
GSST: Multimodal Graph-SMILES Fusion with Soft SMILES Tokens for Molecular Property Prediction
Jie Zhou, Qichang Zhao, Pengcheng Shu, et al.
Bioinformatics (Oxford, England)
|
August 22, 2023
MSDRP: a deep learning model based on multisource data for predicting drug response
Haochen Zhao, Xiaoyu Zhang, Qichang Zhao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
March 26, 2021
Biomedical Data and Deep Learning Computational Models for Predicting Compound-Protein Relations
Qichang Zhao, Mengyun Yang, Zhongjian Cheng, et al.
Briefings in Bioinformatics
|
October 31, 2021
A similarity-based deep learning approach for determining the frequencies of drug side effects
Haochen Zhao, Shaokai Wang, Kai Zheng, et al.
Briefings in Bioinformatics
|
August 23, 2022
NASMDR: a framework for miRNA-drug resistance prediction using efficient neural architecture search and graph isomorphism networks
Kai Zheng, Haochen Zhao, Qichang Zhao, et al.
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Showing results (11-20 of 26) with videos related to
Sort By:
Page
of 3
Bioinformatics (Oxford, England)
|
November 9, 2023
SSLpheno: a self-supervised learning approach for gene-phenotype association prediction using protein-protein interactions and gene ontology data
Xuehua Bi, Weiyang Liang, Qichang Zhao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
October 9, 2024
A Knowledge Graph-Based Method for Drug-Drug Interaction Prediction With Contrastive Learning
Jian Zhong, Haochen Zhao, Qichang Zhao, et al.
Methods (San Diego, Calif.)
|
April 12, 2024
DTKGIN: Predicting drug-target interactions based on knowledge graph and intent graph
Yi Luo, Guihua Duan, Qichang Zhao, et al.
Briefings in Bioinformatics
|
November 4, 2020
Computational drug repositioning based on multi-similarities bilinear matrix factorization
Mengyun Yang, Gaoyan Wu, Qichang Zhao, et al.
IEEE Journal of Biomedical and Health Informatics
|
July 24, 2025
MRLF-DDI: A Multi-view Representation Learning Framework for Drug-Drug Interaction Event Prediction
Jian Zhong, Haochen Zhao, Xiao Liang, et al.
IEEE Journal of Biomedical and Health Informatics
|
October 6, 2025
GSST: Multimodal Graph-SMILES Fusion with Soft SMILES Tokens for Molecular Property Prediction
Jie Zhou, Qichang Zhao, Pengcheng Shu, et al.
Bioinformatics (Oxford, England)
|
August 22, 2023
MSDRP: a deep learning model based on multisource data for predicting drug response
Haochen Zhao, Xiaoyu Zhang, Qichang Zhao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
March 26, 2021
Biomedical Data and Deep Learning Computational Models for Predicting Compound-Protein Relations
Qichang Zhao, Mengyun Yang, Zhongjian Cheng, et al.
Briefings in Bioinformatics
|
October 31, 2021
A similarity-based deep learning approach for determining the frequencies of drug side effects
Haochen Zhao, Shaokai Wang, Kai Zheng, et al.
Briefings in Bioinformatics
|
August 23, 2022
NASMDR: a framework for miRNA-drug resistance prediction using efficient neural architecture search and graph isomorphism networks
Kai Zheng, Haochen Zhao, Qichang Zhao, et al.
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of 3