| Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides J Xu, F Li, A Leier, D Xiang, HH Shen, TT Marquez Lago, J Li, DJ Yu, ... Briefings in bioinformatics 22 (5), bbab083, 2021 | 111 | 2021 |
| Antimicrobial peptide identification using multi-scale convolutional network X Su†, J Xu†, Y Yin, X Quan, H Zhang BMC bioinformatics 20 (1), 1-10, 2019 | 73 | 2019 |
| Positive-unlabeled learning in bioinformatics and computational biology: a brief review F Li, S Dong, A Leier, M Han, X Guo, J Xu, X Wang, S Pan, C Jia, Y Zhang, ... Briefings in bioinformatics 23 (1), bbab461, 2022 | 59 | 2022 |
| Knowledge gaps in immune response and immunotherapy involving nanomaterials: Databases and artificial intelligence for material design R Feng, F Yu, J Xu, X Hu Biomaterials 266, 120469, 2021 | 45 | 2021 |
| iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities J Xu, F Li, C Li, X Guo, C Landersdorfer, HH Shen, AY Peleg, J Li, S Imoto, ... Briefings in Bioinformatics 24 (4), bbad240, 2023 | 42 | 2023 |
| Predicting nanotoxicity by an integrated machine learning and metabolomics approach T Peng, C Wei, F Yu, J Xu, Q Zhou, T Shi, X Hu Environmental Pollution 267, 115434, 2020 | 41 | 2020 |
| eCAMI: simultaneous classification and motif identification for enzyme annotation J Xu, H Zhang, J Zheng, P Dovoedo, Y Yin Bioinformatics 36 (7), 2068-2075, 2020 | 38 | 2020 |
| ASPIRER: a new computational approach for identifying non-classical secreted proteins based on deep learning X Wang, F Li, J Xu, J Rong, GI Webb, Z Ge, J Li, J Song Briefings in Bioinformatics 23 (2), bbac031, 2022 | 25 | 2022 |
| Ensemble consensus-guided unsupervised feature selection to identify Huntington’s disease-associated genes X Guo, X Jiang, J Xu, X Quan, M Wu, H Zhang Genes 9 (7), 350, 2018 | 7 | 2018 |
| Multi-modality data-driven analysis of diagnosis and treatment of psoriatic arthritis J Xu, J Ou, C Li, Z Zhu, J Li, H Zhang, J Chen, B Yi, W Zhu, W Zhang, ... npj Digital Medicine 6 (1), 13, 2023 | 6 | 2023 |
| Ensemble learning model identifies adaptation classification and turning points of river microbial communities in response to heatwaves Q Qu, J Xu, W Kang, R Feng, X Hu Global Change Biology 29 (24), 6988-7000, 2023 | 5 | 2023 |
| Bayesian Multi-scale Convolutional Neural Network for Motif Occupancy Identification W Li, Q Zhao, H Zhang, X Quan, J Xu, Y Yin 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 2 | 2020 |
| K-means Based Unsupervised Feature Selection to Prioritize Biomarkers of Different Disease Clinical Phases X Jiang, W Wang, J Xu, Z Wang, GN Lin bioRxiv, 2020.04. 21.052704, 2020 | 2 | 2020 |
| CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction R Han, X Liu, T Pan, J Xu, X Wang, W Lan, Z Li, Z Wang, J Song, G Wang, ... arXiv preprint arXiv:2409.03773, 2024 | | 2024 |