| 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 | 64 | 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 |
| Identifying anti-coronavirus peptides by incorporating different negative datasets and imbalanced learning strategies Y Pang, Z Wang, JH Jhong, TY Lee Briefings in bioinformatics 22 (2), 1085-1095, 2021 | 34 | 2021 |
| UbiNet 2.0: a verified, classified, annotated and updated database of E3 ubiquitin ligase–substrate interactions Z Li, S Chen, JH Jhong, Y Pang, KY Huang, S Li, TY Lee Database 2021, baab010, 2021 | 32 | 2021 |
| Characterization and identification of lysine crotonylation sites based on machine learning method on both plant and mammalian R Wang, Z Wang, H Wang, Y Pang, TY Lee Scientific reports 10 (1), 20447, 2020 | 19 | 2020 |
| 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 |
| Driver drowsiness detection algorithm using short-time ECG signals L XU, W ZHANG, Y PANG, C WU Journal of Northeastern University (Natural Science) 40 (7), 937, 2019 | 4 | 2019 |
| A risk assessment framework for multidrug-resistant Staphylococcus aureus using machine learning and mass spectrometry technology Z Wang, Y Pang, CR Chung, HY Wang, H Cui, YC Chiang, JT Horng, ... Briefings in Bioinformatics 24 (6), bbad330, 2023 | 1 | 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 |
| A 3D multi-scale virtual adversarial network for false positive reduction in pulmonary nodule detection Y Wu, Y Pang, P Cao Proceedings of the 2019 3rd International Conference on Innovation in …, 2019 | 1 | 2019 |
| 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
