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Jian-Yu Shi

Showing results (11-20 of 50) with videos related to

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Methods (San Diego, Calif.)|January 6, 2024
DMGL-MDA: A dual-modal graph learning method for microbe-drug association predictionBei Zhu, Hao-Yang Yu, Bing-Xue Du, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 7, 2023
Few-Shot Drug Synergy Prediction With a Prior-Guided Hypernetwork ArchitectureQing-Qing Zhang, Shao-Wu Zhang, Yue-Hua Feng, et al.
Computers in Biology and Medicine|June 13, 2024
Prediction of drug-target binding affinity based on multi-scale feature fusionHui Yu, Wen-Xin Xu, Tian Tan, et al.
Bioinformatics (Oxford, England)|August 12, 2023
CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learningBing-Xue Du, Yahui Long, Xiaoli Li, et al.
BMC Bioinformatics|October 27, 2017
Predicting combinative drug pairs towards realistic screening via integrating heterogeneous featuresJian-Yu Shi, Jia-Xin Li, Ke Gao, et al.
Plos One|January 7, 2014
Effective moment feature vectors for protein domain structuresJian-Yu Shi, Siu-Ming Yiu, Yan-Ning Zhang, et al.
BMC Bioinformatics|February 17, 2022
Predict multi-type drug-drug interactions in cold start scenarioZun Liu, Xing-Nan Wang, Hui Yu, et al.
Iscience|November 29, 2023
ADMET property prediction via multi-task graph learning under adaptive auxiliary task selectionBing-Xue Du, Yi Xu, Siu-Ming Yiu, et al.
Frontiers in Microbiology|June 16, 2022
Corrigendum: NNAN: Nearest Neighbor Attention Network to Predict Drug-Microbe AssociationsBei Zhu, Yi Xu, Pengcheng Zhao, et al.
Methods (San Diego, Calif.)|February 28, 2025
A novel interpretability framework for enzyme turnover number prediction boosted by pre-trained enzyme embeddings and adaptive gate networkBing-Xue Du, Haoyang Yu, Bei Zhu, et al.
Pageof 5

Showing results (11-20 of 50) with videos related to

Sort By:
Pageof 5
Methods (San Diego, Calif.)|January 6, 2024
DMGL-MDA: A dual-modal graph learning method for microbe-drug association predictionBei Zhu, Hao-Yang Yu, Bing-Xue Du, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 7, 2023
Few-Shot Drug Synergy Prediction With a Prior-Guided Hypernetwork ArchitectureQing-Qing Zhang, Shao-Wu Zhang, Yue-Hua Feng, et al.
Computers in Biology and Medicine|June 13, 2024
Prediction of drug-target binding affinity based on multi-scale feature fusionHui Yu, Wen-Xin Xu, Tian Tan, et al.
Bioinformatics (Oxford, England)|August 12, 2023
CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learningBing-Xue Du, Yahui Long, Xiaoli Li, et al.
BMC Bioinformatics|October 27, 2017
Predicting combinative drug pairs towards realistic screening via integrating heterogeneous featuresJian-Yu Shi, Jia-Xin Li, Ke Gao, et al.
Plos One|January 7, 2014
Effective moment feature vectors for protein domain structuresJian-Yu Shi, Siu-Ming Yiu, Yan-Ning Zhang, et al.
BMC Bioinformatics|February 17, 2022
Predict multi-type drug-drug interactions in cold start scenarioZun Liu, Xing-Nan Wang, Hui Yu, et al.
Iscience|November 29, 2023
ADMET property prediction via multi-task graph learning under adaptive auxiliary task selectionBing-Xue Du, Yi Xu, Siu-Ming Yiu, et al.
Frontiers in Microbiology|June 16, 2022
Corrigendum: NNAN: Nearest Neighbor Attention Network to Predict Drug-Microbe AssociationsBei Zhu, Yi Xu, Pengcheng Zhao, et al.
Methods (San Diego, Calif.)|February 28, 2025
A novel interpretability framework for enzyme turnover number prediction boosted by pre-trained enzyme embeddings and adaptive gate networkBing-Xue Du, Haoyang Yu, Bei Zhu, et al.
Pageof 5