| Open resource of clinical data from patients with pneumonia for the prediction of COVID-19 outcomes via deep learning W Ning, S Lei, J Yang, Y Cao, P Jiang, Q Yang, J Zhang, X Wang, F Chen, ... Nature biomedical engineering 4 (12), 1197-1207, 2020 | 218* | 2020 |
| DrLLPS: a data resource of liquid–liquid phase separation in eukaryotes W Ning, Y Guo, S Lin, B Mei, Y Wu, P Jiang, X Tan, W Zhang, G Chen, ... Nucleic acids research 48 (D1), D288-D295, 2020 | 147 | 2020 |
| GPS-Palm: a deep learning-based graphic presentation system for the prediction of S-palmitoylation sites in proteins W Ning, P Jiang, Y Guo, C Wang, X Tan, W Zhang, D Peng, Y Xue Briefings in bioinformatics 22 (2), 1836-1847, 2021 | 97 | 2021 |
| Deep graph embedding for prioritizing synergistic anticancer drug combinations P Jiang, S Huang, Z Fu, Z Sun, TM Lakowski, P Hu Computational and structural biotechnology journal 18, 427-438, 2020 | 97 | 2020 |
| DTF: deep tensor factorization for predicting anticancer drug synergy Z Sun, S Huang, P Jiang, P Hu Bioinformatics 36 (16), 4483-4489, 2020 | 59 | 2020 |
| HybridSucc: a hybrid-learning architecture for general and species-specific succinylation site prediction W Ning, H Xu, P Jiang, H Cheng, W Deng, Y Guo, Y Xue Genomics, Proteomics and Bioinformatics 18 (2), 194-207, 2020 | 34 | 2020 |
| FSL-Kla: a few-shot learning-based multi-feature hybrid system for lactylation site prediction P Jiang, W Ning, Y Shi, C Liu, S Mo, H Zhou, K Liu, Y Guo Computational and Structural Biotechnology Journal 19, 4497-4509, 2021 | 27 | 2021 |
| Molecular persistent spectral image (Mol-PSI) representation for machine learning models in drug design P Jiang, Y Chi, XS Li, Z Meng, X Liu, XS Hua, K Xia Briefings in Bioinformatics 23 (1), bbab527, 2022 | 21 | 2022 |
| GPS-PBS: a deep learning framework to predict phosphorylation sites that specifically interact with phosphoprotein-binding domains Y Guo, W Ning, P Jiang, S Lin, C Wang, X Tan, L Yao, D Peng, Y Xue Cells 9 (5), 1266, 2020 | 15 | 2020 |
| Combined topological data analysis and geometric deep learning reveal niches by the quantification of protein binding pockets P Jiang, J Lugo-Martinez bioRxiv, 2023.08. 25.554762, 2023 | 2 | 2023 |
| scDOT: optimal transport for mapping senescent cells in spatial transcriptomics ND Nguyen, L Rosas, T Khaliullin, P Jiang, E Hasanaj, ... Genome Biology 25 (1), 288, 2024 | | 2024 |
| A hybrid positive unlabeled learning framework for uncovering scaffolds across human proteome by measuring the propensity to drive phase separation P Jiang, R Cai, J Lugo-Martinez, Y Guo Briefings in Bioinformatics 24 (2), bbad009, 2023 | | 2023 |
Yu XueProfessor of Life Science and Techology, Huazhong University of Science and Technology在 mail.hust.edu.cn 的电子邮件经过验证
