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Shanfeng Zhu

Showing results (1-10 of 76) with videos related to

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Cell Systems|October 7, 2025
Leveraging attention-based deep multiple instance and multiple task learning for improved neoepitope identificationWei Qu, Shanfeng Zhu
Phenomics (Cham, Switzerland)|March 20, 2023
Computational Methods for Prediction of Human Protein-Phenotype Associations: A ReviewLizhi Liu, Shanfeng Zhu
Nature Communications|March 25, 2025
Benchmarking metagenomic binning tools on real datasets across sequencing platforms and binning modesHaitao Han, Ziye Wang, Shanfeng Zhu
Briefings in Bioinformatics|June 18, 2009
Towards accurate human promoter recognition: a review of currently used sequence features and classification methodsJia Zeng, Shanfeng Zhu, Hong Yan
Bioinformatics (Oxford, England)|April 6, 2021
HPOFiller: identifying missing protein-phenotype associations by graph convolutional networkLizhi Liu, Hiroshi Mamitsuka, Shanfeng Zhu
Journal of Immunological Methods|September 21, 2010
Ensemble approaches for improving HLA class I-peptide binding predictionXihao Hu, Hiroshi Mamitsuka, Shanfeng Zhu
International Journal of Bioinformatics Research and Applications|January 30, 2010
SVR-PAIRWISE method to predict MHC-II binding peptidesJuan Liu, Lian Wang, Shanfeng Zhu
Methods in Molecular Biology (Clifton, N.J.)|July 22, 2018
MeSHLabeler and DeepMeSH: Recent Progress in Large-Scale MeSH IndexingShengwen Peng, Hiroshi Mamitsuka, Shanfeng Zhu
Bioinformatics (Oxford, England)|October 21, 2021
HPODNets: deep graph convolutional networks for predicting human protein-phenotype associationsLizhi Liu, Hiroshi Mamitsuka, Shanfeng Zhu
International Journal of Data Mining and Bioinformatics|June 26, 2012
A consensus method for prioritising drug-associated target proteinsGang Shu, Xiaodi Huang, Shanfeng Zhu
Pageof 8

Showing results (1-10 of 76) with videos related to

Sort By:
Pageof 8
Cell Systems|October 7, 2025
Leveraging attention-based deep multiple instance and multiple task learning for improved neoepitope identificationWei Qu, Shanfeng Zhu
Phenomics (Cham, Switzerland)|March 20, 2023
Computational Methods for Prediction of Human Protein-Phenotype Associations: A ReviewLizhi Liu, Shanfeng Zhu
Nature Communications|March 25, 2025
Benchmarking metagenomic binning tools on real datasets across sequencing platforms and binning modesHaitao Han, Ziye Wang, Shanfeng Zhu
Briefings in Bioinformatics|June 18, 2009
Towards accurate human promoter recognition: a review of currently used sequence features and classification methodsJia Zeng, Shanfeng Zhu, Hong Yan
Bioinformatics (Oxford, England)|April 6, 2021
HPOFiller: identifying missing protein-phenotype associations by graph convolutional networkLizhi Liu, Hiroshi Mamitsuka, Shanfeng Zhu
Journal of Immunological Methods|September 21, 2010
Ensemble approaches for improving HLA class I-peptide binding predictionXihao Hu, Hiroshi Mamitsuka, Shanfeng Zhu
International Journal of Bioinformatics Research and Applications|January 30, 2010
SVR-PAIRWISE method to predict MHC-II binding peptidesJuan Liu, Lian Wang, Shanfeng Zhu
Methods in Molecular Biology (Clifton, N.J.)|July 22, 2018
MeSHLabeler and DeepMeSH: Recent Progress in Large-Scale MeSH IndexingShengwen Peng, Hiroshi Mamitsuka, Shanfeng Zhu
Bioinformatics (Oxford, England)|October 21, 2021
HPODNets: deep graph convolutional networks for predicting human protein-phenotype associationsLizhi Liu, Hiroshi Mamitsuka, Shanfeng Zhu
International Journal of Data Mining and Bioinformatics|June 26, 2012
A consensus method for prioritising drug-associated target proteinsGang Shu, Xiaodi Huang, Shanfeng Zhu
Pageof 8