| SDLDA: lncRNA-disease association prediction based on singular value decomposition and deep learning M Zeng, C Lu, F Zhang, Y Li, FX Wu, Y Li, M Li Methods 179, 73-80, 2020 | 76 | 2020 |
| Essential protein prediction based on node2vec and XGBoost N Wang, M Zeng, Y Li, FX Wu, M Li Journal of Computational Biology 28 (7), 687-700, 2021 | 23 | 2021 |
| DeepCellEss: cell line-specific essential protein prediction with attention-based interpretable deep learning Y Li, M Zeng, F Zhang, FX Wu, M Li Bioinformatics 39 (1), btac779, 2023 | 10 | 2023 |
| Accurate prediction of human essential proteins using ensemble deep learning Y Li, M Zeng, Y Wu, Y Li, M Li IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (6 …, 2021 | 10 | 2021 |
| LncLocFormer: a Transformer-based deep learning model for multi-label lncRNA subcellular localization prediction by using localization-specific attention mechanism M Zeng, Y Wu, Y Li, R Yin, C Lu, J Duan, M Li Bioinformatics 39 (12), btad752, 2023 | 7 | 2023 |
| Ess-NEXG: predict essential proteins by constructing a weighted protein interaction network based on node embedding and XGBoost N Wang, M Zeng, J Zhang, Y Li, M Li Bioinformatics Research and Applications: 16th International Symposium …, 2020 | 6 | 2020 |
| Improving human essential protein prediction using only protein sequences via ensemble learning M Zeng, N Wang, Y Wu, Y Li, FX Wu, M Li 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 4 | 2021 |
| Protein function prediction using graph neural network with multi-type biological knowledge Y Shuai, W Wang, Y Li, M Zeng, M Li 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | 1 | 2023 |
| LDAGSO: Predicting IncRNA-Disease Associations from Graph Sequences and Disease Ontology via Deep Learning techniques NS Awn, Y Li, B Zhao, M Zeng, M Li 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 1 | 2022 |
| SGCL-LncLoc: an interpretable deep learning model for improving lncRNA subcellular localization prediction with supervised graph contrastive learning M Li, B Zhao, Y Li, P Ding, R Yin, S Kan, Y Pan, M Zeng Big Data Mining and Analytics, 2024 | | 2024 |
| DILM-ICD: A Deep Iterative Learning Model for Automatic ICD Coding W Qiu, Y Wu, Y Li, K Niu, M Zeng, M Li 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
Min ZengSchool of Computer Science and Engineering, Central South University在 csu.edu.cn 的电子邮件经过验证
