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Lantian Yao

Showing results (1-10 of 44) with videos related to

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Bioinformatics (Oxford, England)|November 3, 2022
Integrating transformer and imbalanced multi-label learning to identify antimicrobial peptides and their functional activitiesYuxuan Pang, Lantian Yao, Jingyi Xu, et al.
Journal of Chemical Information and Modeling|March 24, 2026
CrossLinker: Aligning Relational and Sequential Contexts for Drug-Target Interaction Prediction in Cold-Start and Few-Shot ScenariosZhenxiang Xu, Jiayi Que, Yue Hong, et al.
Briefings in Bioinformatics|July 19, 2021
AVPIden: a new scheme for identification and functional prediction of antiviral peptides based on machine learning approachesYuxuan Pang, Lantian Yao, Jhih-Hua Jhong, et al.
International Journal of Molecular Sciences|June 28, 2023
StackTHPred: Identifying Tumor-Homing Peptides through GBDT-Based Feature Selection with Stacking Ensemble ArchitectureJiahui Guan, Lantian Yao, Chia-Ru Chung, et al.
Genomics, Proteomics & Bioinformatics|July 5, 2022
KinasePhos 3.0: Redesign and Expansion of the Prediction on Kinase-specific Phosphorylation SitesRenfei Ma, Shangfu Li, Wenshuo Li, et al.
Computational and Structural Biotechnology Journal|June 9, 2025
m5CStack: An integrated framework for m5C site prediction using multi-feature stackingXuxin He, Jiahui Guan, Peilin Xie, et al.
Journal of Chemical Information and Modeling|November 18, 2025
MGCL-CAP: Masked Graph Contrastive Learning with Gated Cross-Attention for Chemical Allergenicity PredictionJiahui Guan, Qianhui Jiang, Peilin Xie, et al.
Analytical Chemistry|January 16, 2024
Identifying Antitubercular Peptides via Deep Forest Architecture with Effective Feature RepresentationLantian Yao, Jiahui Guan, Wenshuo Li, et al.
Briefings in Bioinformatics|May 6, 2024
A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategyJiahui Guan, Lantian Yao, Peilin Xie, et al.
Iscience|March 25, 2024
KinPred-RNA-kinase activity inference and cancer type classification using machine learning on RNA-seq dataYuntian Zhang, Lantian Yao, Chia-Ru Chung, et al.
Pageof 5

Showing results (1-10 of 44) with videos related to

Sort By:
Pageof 5
Bioinformatics (Oxford, England)|November 3, 2022
Integrating transformer and imbalanced multi-label learning to identify antimicrobial peptides and their functional activitiesYuxuan Pang, Lantian Yao, Jingyi Xu, et al.
Journal of Chemical Information and Modeling|March 24, 2026
CrossLinker: Aligning Relational and Sequential Contexts for Drug-Target Interaction Prediction in Cold-Start and Few-Shot ScenariosZhenxiang Xu, Jiayi Que, Yue Hong, et al.
Briefings in Bioinformatics|July 19, 2021
AVPIden: a new scheme for identification and functional prediction of antiviral peptides based on machine learning approachesYuxuan Pang, Lantian Yao, Jhih-Hua Jhong, et al.
International Journal of Molecular Sciences|June 28, 2023
StackTHPred: Identifying Tumor-Homing Peptides through GBDT-Based Feature Selection with Stacking Ensemble ArchitectureJiahui Guan, Lantian Yao, Chia-Ru Chung, et al.
Genomics, Proteomics & Bioinformatics|July 5, 2022
KinasePhos 3.0: Redesign and Expansion of the Prediction on Kinase-specific Phosphorylation SitesRenfei Ma, Shangfu Li, Wenshuo Li, et al.
Computational and Structural Biotechnology Journal|June 9, 2025
m5CStack: An integrated framework for m5C site prediction using multi-feature stackingXuxin He, Jiahui Guan, Peilin Xie, et al.
Journal of Chemical Information and Modeling|November 18, 2025
MGCL-CAP: Masked Graph Contrastive Learning with Gated Cross-Attention for Chemical Allergenicity PredictionJiahui Guan, Qianhui Jiang, Peilin Xie, et al.
Analytical Chemistry|January 16, 2024
Identifying Antitubercular Peptides via Deep Forest Architecture with Effective Feature RepresentationLantian Yao, Jiahui Guan, Wenshuo Li, et al.
Briefings in Bioinformatics|May 6, 2024
A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategyJiahui Guan, Lantian Yao, Peilin Xie, et al.
Iscience|March 25, 2024
KinPred-RNA-kinase activity inference and cancer type classification using machine learning on RNA-seq dataYuntian Zhang, Lantian Yao, Chia-Ru Chung, et al.
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