| A graph-based approach for integrating biological heterogeneous data based on connecting ontology S Zhang, Y Tang, J Yan, L Li, T Li, J Li, P Xie, Y Gu, J Xu, Z Feng, ... 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 4 | 2021 |
| 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 | 3 | 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 | 1 | 2024 |
| 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, 2024 | | 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 | | 2024 |
