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Xiangzheng Fu

Showing results (11-20 of 78) with videos related to

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Bioinformatics (Oxford, England)|July 5, 2024
GraphADT: empowering interpretable predictions of acute dermal toxicity with multi-view graph pooling and structure remappingXinqian Ma, Xiangzheng Fu, Tao Wang, et al.
Current Opinion in Structural Biology|October 14, 2021
Toward better drug discovery with knowledge graphXiangxiang Zeng, Xinqi Tu, Yuansheng Liu, et al.
Frontiers in Bioengineering and Biotechnology|March 15, 2021
Prediction of lncRNA-Protein Interactions via the Multiple Information IntegrationYifan Chen, Xiangzheng Fu, Zejun Li, et al.
Briefings in Functional Genomics|May 29, 2021
Pretraining model for biological sequence dataBosheng Song, Zimeng Li, Xuan Lin, et al.
Bioinformatics (Oxford, England)|October 29, 2020
iEnhancer-XG: interpretable sequence-based enhancers and their strength predictorLijun Cai, Xuanbai Ren, Xiangzheng Fu, et al.
Briefings in Bioinformatics|November 15, 2022
DAESTB: inferring associations of small molecule-miRNA via a scalable tree boosting model based on deep autoencoderLi Peng, Yuan Tu, Li Huang, et al.
International Journal of Biological Macromolecules|July 13, 2024
MultiCBlo: Enhancing predictions of compound-induced inhibition of cardiac ion channels with advanced multimodal learningTao Wang, Zhenya Du, Linlin Zhuo, et al.
The Journal of Physical Chemistry Letters|July 22, 2024
Efficient Deep Model Ensemble Framework for Drug-Target Interaction PredictionJinhang Wei, Yangbin Zhu, Linlin Zhuo, et al.
Briefings in Bioinformatics|July 10, 2023
GCFMCL: predicting miRNA-drug sensitivity using graph collaborative filtering and multi-view contrastive learningJinhang Wei, Linlin Zhuo, Zhecheng Zhou, et al.
IEEE Journal of Biomedical and Health Informatics|February 22, 2024
AEGNN-M:A 3D Graph-Spatial Co-Representation Model for Molecular Property PredictionLijun Cai, Yuling He, Xiangzheng Fu, et al.
Pageof 8

Showing results (11-20 of 78) with videos related to

Sort By:
Pageof 8
Bioinformatics (Oxford, England)|July 5, 2024
GraphADT: empowering interpretable predictions of acute dermal toxicity with multi-view graph pooling and structure remappingXinqian Ma, Xiangzheng Fu, Tao Wang, et al.
Current Opinion in Structural Biology|October 14, 2021
Toward better drug discovery with knowledge graphXiangxiang Zeng, Xinqi Tu, Yuansheng Liu, et al.
Frontiers in Bioengineering and Biotechnology|March 15, 2021
Prediction of lncRNA-Protein Interactions via the Multiple Information IntegrationYifan Chen, Xiangzheng Fu, Zejun Li, et al.
Briefings in Functional Genomics|May 29, 2021
Pretraining model for biological sequence dataBosheng Song, Zimeng Li, Xuan Lin, et al.
Bioinformatics (Oxford, England)|October 29, 2020
iEnhancer-XG: interpretable sequence-based enhancers and their strength predictorLijun Cai, Xuanbai Ren, Xiangzheng Fu, et al.
Briefings in Bioinformatics|November 15, 2022
DAESTB: inferring associations of small molecule-miRNA via a scalable tree boosting model based on deep autoencoderLi Peng, Yuan Tu, Li Huang, et al.
International Journal of Biological Macromolecules|July 13, 2024
MultiCBlo: Enhancing predictions of compound-induced inhibition of cardiac ion channels with advanced multimodal learningTao Wang, Zhenya Du, Linlin Zhuo, et al.
The Journal of Physical Chemistry Letters|July 22, 2024
Efficient Deep Model Ensemble Framework for Drug-Target Interaction PredictionJinhang Wei, Yangbin Zhu, Linlin Zhuo, et al.
Briefings in Bioinformatics|July 10, 2023
GCFMCL: predicting miRNA-drug sensitivity using graph collaborative filtering and multi-view contrastive learningJinhang Wei, Linlin Zhuo, Zhecheng Zhou, et al.
IEEE Journal of Biomedical and Health Informatics|February 22, 2024
AEGNN-M:A 3D Graph-Spatial Co-Representation Model for Molecular Property PredictionLijun Cai, Yuling He, Xiangzheng Fu, et al.
Pageof 8