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Haochen Zhao

Showing results (1-10 of 62) with videos related to

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Briefings in Bioinformatics|August 29, 2022
SADeepcry: a deep learning framework for protein crystallization propensity prediction using self-attention and auto-encoder networksShaokai Wang, Haochen Zhao
Protein Science : a Publication of the Protein Society|March 27, 2024
MA-PEP: A novel anticancer peptide prediction framework with multimodal feature fusion based on attention mechanismXiao Liang, Haochen Zhao, Jianxin Wang
Bioinformatics (Oxford, England)|March 26, 2021
A convolutional neural network and graph convolutional network-based method for predicting the classification of anatomical therapeutic chemicalsHaochen Zhao, Yaohang Li, Jianxin Wang
Methods (San Diego, Calif.)|January 25, 2025
MPEMDA: A multi-similarity integration approach with pre-completion and error correction for predicting microbe-drug associationsYuxiang Li, Haochen Zhao, Jianxin Wang
Briefings in Bioinformatics|October 15, 2024
BANDRP: a bilinear attention network for anti-cancer drug response prediction based on fingerprint and multi-omicsCheng Cao, Haochen Zhao, Jianxin Wang
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
Enhancing Antimicrobial Peptide Function Prediction Via Knowledge Transfer on Protein Language ModelsXiao Liang, Haochen Zhao, Jianxin Wang
Bioinformatics (Oxford, England)|October 19, 2021
HyperAttentionDTI: improving drug-protein interaction prediction by sequence-based deep learning with attention mechanismQichang Zhao, Haochen Zhao, Kai Zheng, et al.
Computational and Mathematical Methods in Medicine|July 27, 2018
A Novel Approach for Predicting Disease-lncRNA Associations Based on the Distance Correlation Set and Information of the miRNAsHaochen Zhao, Linai Kuang, Lei Wang, 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 LearningJian Zhong, Haochen Zhao, Qichang Zhao, et al.
IEEE Journal of Biomedical and Health Informatics|March 6, 2025
AGPred: An End-to-End Deep Learning Model to Predicting Drug Approvals in Clinical Trials Based on Molecular FeaturesHaochen Zhao, Xiao Liang, Chenliang Xie, et al.
Pageof 7

Showing results (1-10 of 62) with videos related to

Sort By:
Pageof 7
Briefings in Bioinformatics|August 29, 2022
SADeepcry: a deep learning framework for protein crystallization propensity prediction using self-attention and auto-encoder networksShaokai Wang, Haochen Zhao
Protein Science : a Publication of the Protein Society|March 27, 2024
MA-PEP: A novel anticancer peptide prediction framework with multimodal feature fusion based on attention mechanismXiao Liang, Haochen Zhao, Jianxin Wang
Bioinformatics (Oxford, England)|March 26, 2021
A convolutional neural network and graph convolutional network-based method for predicting the classification of anatomical therapeutic chemicalsHaochen Zhao, Yaohang Li, Jianxin Wang
Methods (San Diego, Calif.)|January 25, 2025
MPEMDA: A multi-similarity integration approach with pre-completion and error correction for predicting microbe-drug associationsYuxiang Li, Haochen Zhao, Jianxin Wang
Briefings in Bioinformatics|October 15, 2024
BANDRP: a bilinear attention network for anti-cancer drug response prediction based on fingerprint and multi-omicsCheng Cao, Haochen Zhao, Jianxin Wang
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
Enhancing Antimicrobial Peptide Function Prediction Via Knowledge Transfer on Protein Language ModelsXiao Liang, Haochen Zhao, Jianxin Wang
Bioinformatics (Oxford, England)|October 19, 2021
HyperAttentionDTI: improving drug-protein interaction prediction by sequence-based deep learning with attention mechanismQichang Zhao, Haochen Zhao, Kai Zheng, et al.
Computational and Mathematical Methods in Medicine|July 27, 2018
A Novel Approach for Predicting Disease-lncRNA Associations Based on the Distance Correlation Set and Information of the miRNAsHaochen Zhao, Linai Kuang, Lei Wang, 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 LearningJian Zhong, Haochen Zhao, Qichang Zhao, et al.
IEEE Journal of Biomedical and Health Informatics|March 6, 2025
AGPred: An End-to-End Deep Learning Model to Predicting Drug Approvals in Clinical Trials Based on Molecular FeaturesHaochen Zhao, Xiao Liang, Chenliang Xie, et al.
Pageof 7