| Applications of deep learning to MRI images: A survey J Liu, Y Pan, M Li, Z Chen, L Tang, C Lu, J Wang Big Data Mining and Analytics 1 (1), 1-18, 2018 | 332 | 2018 |
| Prediction of lncRNA–disease associations based on inductive matrix completion C Lu, M Yang, F Luo, FX Wu, M Li, Y Pan, Y Li, J Wang Bioinformatics 34 (19), 3357-3364, 2018 | 264 | 2018 |
| 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 | 87 | 2020 |
| DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding M Zeng, Y Wu, C Lu, F Zhang, FX Wu, M Li Briefings in Bioinformatics 23 (1), bbab360, 2022 | 77 | 2022 |
| Deep matrix factorization improves prediction of human circRNA-disease associations C Lu, Min, Zeng, Fuhao Zhang, Fang Xiang Wu, Min Li & Jianxin Wang IEEE Journal of Biomedical and Health Informatics, 2020 | 75 | 2020 |
| DMFLDA: a deep learning framework for predicting lncRNA–disease associations M Zeng, C Lu, Z Fei, FX Wu, Y Li, J Wang, M Li IEEE/ACM transactions on computational biology and bioinformatics 18 (6 …, 2020 | 56 | 2020 |
| Predicting human lncRNA-disease associations based on geometric matrix completion C Lu, M Yang, M Li, Y Li, FX Wu, J Wang IEEE journal of biomedical and health informatics 24 (8), 2420-2429, 2019 | 46 | 2019 |
| GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation M Li, B Zhao, R Yin, C Lu, F Guo, M Zeng Briefings in Bioinformatics 24 (1), bbac565, 2023 | 44 | 2023 |
| Improving circRNA–disease association prediction by sequence and ontology representations with convolutional and recurrent neural networks C Lu, M Zeng, FX Wu, M Li, J Wang Bioinformatics 36 (24), 5656-5664, 2020 | 42 | 2020 |
| Heterogeneous graph inference with matrix completion for computational drug repositioning M Yang, L Huang, Y Xu, C Lu, J Wang Bioinformatics 36 (22-23), 5456-5464, 2020 | 32 | 2020 |
| 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 | 21 | 2023 |
| CRMSS: predicting circRNA-RBP binding sites based on multi-scale characterizing sequence and structure features L Zhang*, C Lu*, M Zeng, Y Li, J Wang Briefings in Bioinformatics, 2022 | 13 | 2022 |
| LncRNA–disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques M Zeng, C Lu, F Zhang, Z Lu, FX Wu, Y Li, M Li 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 8 | 2019 |
| Inferring disease-associated circRNAs by multi-source aggregation based on heterogeneous graph neural network C Lu, L Zhang, M Zeng, W Lan, G Duan, J Wang Briefings in Bioinformatics 24 (1), bbac549, 2023 | 5 | 2023 |
| Predicting microRNA-environmental factor interactions based on bi-random walk and multi-label learning W Lan, J Wang, M Li, C Lu, FX Wu, Y Pan 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016 | 4 | 2016 |
| CellCircLoc: Deep Neural Network for Predicting and Explaining Cell Line-Specific CircRNA Subcellular Localization M Zeng, J Lu, Y Li, C Lu, S Kan, F Guo, M Li IEEE Journal of Biomedical and Health Informatics, 2024 | | 2024 |
Min LiSchool of Computer Science and Engineering, Central South Universityכתובת אימייל מאומתת בדומיין mail.csu.edu.cn