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 | 131 | 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 | 118 | 2022 |
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 and Bioinformatics 21 (1), 228-241, 2023 | 32 | 2023 |
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 | 17 | 2023 |
Holistic similarity-based prediction of phosphorylation sites for understudied kinases R Ma, S Li, L Parisi, W Li, HD Huang, TY Lee Briefings in Bioinformatics 24 (2), bbac624, 2023 | 3 | 2023 |
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, 2024 | 2 | 2024 |
Analysis of a cell-free DNA-based cancer screening cohort links fragmentomic profiles, nuclease levels, and plasma DNA concentrations Y Malki, G Kang, WKJ Lam, Q Zhou, SH Cheng, PPH Cheung, J Bai, ... Genome Research, gr. 279667.124, 2024 | | 2024 |
DeepForest-HTP: A Novel Deep Forest Approach for Predicting Antihypertensive Peptides Q Bai, H Chen, W Li, L Li, J Li, Z Gao, Y Li, X Li, B Song Computer Methods and Programs in Biomedicine, 108514, 2024 | | 2024 |