| 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 | 373 | 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 | 73 | 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 | 63 | 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 | 39 | 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 | 32 | 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 and Bioinformatics 21 (1), 228-241, 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 | 13 | 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 | 10 | 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 | 3 | 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 | 3 | 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 | 2 | 2023 |
| 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 | 1 | 2023 |
| KinPred-RNA-Kinase Activity Inference and Cancer Type Classification using Machine Learning on RNA-seq Data Y Zhang, L Yao, CR Chung, Y Huang, S Li, W Zhang, Y Pang, TY Lee iScience, 2024 | | 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 | | 2024 |
| 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 | | 2023 |
| 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 | | 2023 |
| KBPRNA: A novel method integrating bulk RNA-seq data and LINCS-L1000 gene signatures to predict kinase activity based on machine learning Y Zhang, L Yao, Y Huang, W Zhang, Y Pang, T Lee bioRxiv, 2022.11. 16.516707, 2022 | | 2022 |
Tzong-Yi Lee (李宗夷)Professor, National Yang Ming Chiao Tung UniversityVerified email at nycu.edu.tw
