| miRTarBase update 2022: an informative resource for experimentally validated miRNA–target interactions HY Huang, YCD Lin, S Cui, Y Huang, Y Tang, J Xu, J Bao, Y Li, J Wen, ... Nucleic acids research 50 (D1), D222-D230, 2022 | 687 | 2022 |
| dbPTM in 2022: an updated database for exploring regulatory networks and functional associations of protein post-translational modifications Z Li, S Li, M Luo, JH Jhong, W Li, L Yao, Y Pang, Z Wang, R Wang, R Ma, ... Nucleic acids research 50 (D1), D471-D479, 2022 | 134 | 2022 |
| dbAMP 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data JH Jhong, L Yao, Y Pang, Z Li, CR Chung, R Wang, S Li, W Li, M Luo, ... Nucleic acids research 50 (D1), D460-D470, 2022 | 120 | 2022 |
| AVPIden: a new scheme for identification and functional prediction of antiviral peptides based on machine learning approaches Y Pang, L Yao, JH Jhong, Z Wang, TY Lee Briefings in bioinformatics 22 (6), bbab263, 2021 | 60 | 2021 |
| CircNet 2.0: an updated database for exploring circular RNA regulatory networks in cancers Y Chen, L Yao, Y Tang, JH Jhong, J Wan, J Chang, S Cui, Y Luo, X Cai, ... Nucleic acids research 50 (D1), D93-D101, 2022 | 53 | 2022 |
| KinasePhos 3.0: redesign and expansion of the prediction on kinase-specific phosphorylation sites R Ma, S Li, W Li, L Yao, HD Huang, TY Lee Genomics, proteomics & bioinformatics 21 (1), 228-241, 2023 | 32 | 2023 |
| Integrating transformer and imbalanced multi-label learning to identify antimicrobial peptides and their functional activities Y Pang, L Yao, J Xu, Z Wang, TY Lee Bioinformatics 38 (24), 5368-5374, 2022 | 28 | 2022 |
| D eepafp: an effective computational framework for identifying antifungal peptides based on deep learning L Yao, Y Zhang, W Li, CR Chung, J Guan, W Zhang, YC Chiang, TY Lee Protein Science 32 (10), e4758, 2023 | 19 | 2023 |
| Accelerating the discovery of anticancer peptides through deep forest architecture with deep graphical representation L Yao, W Li, Y Zhang, J Deng, Y Pang, Y Huang, CR Chung, J Yu, ... International Journal of Molecular Sciences 24 (5), 4328, 2023 | 18 | 2023 |
| A robust drug–target interaction prediction framework with capsule network and transfer learning Y Huang, HY Huang, Y Chen, YCD Lin, L Yao, T Lin, J Leng, Y Chang, ... International Journal of Molecular Sciences 24 (18), 14061, 2023 | 14 | 2023 |
| Predicting anti-inflammatory peptides by ensemble machine learning and deep learning J Guan, L Yao, CR Chung, P Xie, Y Zhang, J Deng, YC Chiang, TY Lee Journal of Chemical Information and Modeling 63 (24), 7886-7898, 2023 | 12 | 2023 |
| Stackthpred: identifying tumor-homing peptides through gbdt-based feature selection with stacking ensemble architecture J Guan, L Yao, CR Chung, YC Chiang, TY Lee International Journal of Molecular Sciences 24 (12), 10348, 2023 | 12 | 2023 |
| AMPActiPred: A three‐stage framework for predicting antibacterial peptides and activity levels with deep forest L Yao, J Guan, P Xie, CR Chung, J Deng, Y Huang, YC Chiang, TY Lee Protein Science 33 (6), e5006, 2024 | 11 | 2024 |
| A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategy J Guan, L Yao, P Xie, CR Chung, Y Huang, YC Chiang, TY Lee Briefings in Bioinformatics 25 (3), bbae208, 2024 | 9 | 2024 |
| ABPCaps: a novel capsule network-based method for the prediction of antibacterial peptides L Yao, Y Pang, J Wan, CR Chung, J Yu, J Guan, C Leung, YC Chiang, ... Applied Sciences 13 (12), 6965, 2023 | 7 | 2023 |
| ACP-CapsPred: an explainable computational framework for identification and functional prediction of anticancer peptides based on capsule network L Yao, P Xie, J Guan, CR Chung, W Zhang, J Deng, Y Huang, YC Chiang, ... Briefings in Bioinformatics 25 (5), bbae460, 2024 | 4 | 2024 |
| Extraction of microRNA–target interaction sentences from biomedical literature by deep learning approach M Luo, S Li, Y Pang, L Yao, R Ma, HY Huang, HD Huang, TY Lee Briefings in Bioinformatics 24 (1), bbac497, 2023 | 4 | 2023 |
| CapsEnhancer: an effective computational framework for identifying enhancers based on chaos game representation and capsule network L Yao, P Xie, J Guan, CR Chung, Y Huang, Y Pang, H Wu, YC Chiang, ... Journal of Chemical Information and Modeling 64 (14), 5725-5736, 2024 | 3 | 2024 |
| Identifying antitubercular peptides via deep forest architecture with effective feature representation L Yao, J Guan, W Li, CR Chung, J Deng, YC Chiang, TY Lee Analytical chemistry 96 (4), 1538-1546, 2024 | 2 | 2024 |
| Caps-ac4C: an effective computational framework for identifying N4-acetylcytidine sites in human mRNA based on deep learning L Yao, P Xie, D Dong, Y Guo, J Guan, W Zhang, CR Chung, Z Zhao, ... Journal of Molecular Biology, 168961, 2025 | 1 | 2025 |
Tzong-Yi Lee (李宗夷)Professor, National Yang Ming Chiao Tung UniversityDirección de correo verificada de nycu.edu.tw
