| 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 | 129 | 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 | 116 | 2022 |
| Characterization and identification of natural antimicrobial peptides on different organisms CR Chung, JH Jhong, Z Wang, S Chen, Y Wan, JT Horng, TY Lee International journal of molecular sciences 21 (3), 986, 2020 | 74 | 2020 |
| 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 | 50 | 2022 |
| 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 | 44 | 2021 |
| A large-scale investigation and identification of methicillin-resistant Staphylococcus aureus based on peaks binning of matrix-assisted laser desorption ionization … HY Wang, CR Chung, Z Wang, S Li, BY Chu, JT Horng, JJ Lu, TY Lee Briefings in Bioinformatics 22 (3), bbaa138, 2021 | 39 | 2021 |
| Incorporating deep learning with word embedding to identify plant ubiquitylation sites H Wang, Z Wang, Z Li, TY Lee Frontiers in Cell and Developmental Biology 8, 572195, 2020 | 29 | 2020 |
| 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 |
| 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 | 21 | 2020 |
| Incorporating support vector machine with sequential minimal optimization to identify anticancer peptides Y Wan, Z Wang, TY Lee BMC bioinformatics 22 (1), 286, 2021 | 18 | 2021 |
| Rapid Antibiotic Resistance Serial Prediction in Staphylococcus aureus Based on Large-Scale MALDI-TOF Data by Applying XGBoost in Multi-Label Learning J Zhang, Z Wang, HY Wang, CR Chung, JT Horng, JJ Lu, TY Lee Frontiers in Microbiology 13, 853775, 2022 | 15 | 2022 |
| Large-Scale Samples Based Rapid Detection of Ciprofloxacin Resistance in Klebsiella pneumoniae Using Machine Learning Methods C Wang, Z Wang, HY Wang, CR Chung, JT Horng, JJ Lu, TY Lee Frontiers in microbiology 13, 827451, 2022 | 15 | 2022 |
| Large-scale mass spectrometry data combined with demographics analysis rapidly predicts methicillin resistance in Staphylococcus aureus Z Wang, HY Wang, CR Chung, JT Horng, JJ Lu, TY Lee Briefings in Bioinformatics 22 (4), bbaa293, 2021 | 15 | 2021 |
| DTWscore: differential expression and cell clustering analysis for time-series single-cell RNA-seq data Z Wang, S Jin, G Liu, X Zhang, N Wang, D Wu, Y Hu, C Zhang, Q Jiang, ... BMC bioinformatics 18, 1-14, 2017 | 15 | 2017 |
| MDRSA: A Web Based-Tool for Rapid Identification of Multidrug Resistant Staphylococcus aureus Based on Matrix-Assisted Laser Desorption Ionization-Time of … CR Chung, Z Wang, JM Weng, HY Wang, LC Wu, YJ Tseng, CH Chen, ... Frontiers in Microbiology 12, 766206, 2021 | 7 | 2021 |
| A dual-level approach for lithium-ion battery RUL prognosis Z Ye, L Zhao, Z Wang, P Ma, X Su, M Pecht, L Pang 2015 IEEE Conference on Prognostics and Health Management (PHM), 1-6, 2015 | 6 | 2015 |
| 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 | 5 | 2023 |
| Residue–residue contact can be a potential feature for the prediction of lysine crotonylation sites R Wang, Z Wang, Z Li, TY Lee Frontiers in Genetics 12, 788467, 2022 | 5 | 2022 |
| A method based on differential entropy-like function for detecting differentially expressed genes across multiple conditions in RNA-Seq studies Z Wang, S Jin, C Zhang Entropy 21 (3), 242, 2019 | 3 | 2019 |
