| Joint learning dimension reduction and clustering of single-cell RNA-sequencing data W Wu, X Ma Bioinformatics 36 (12), 3825-3832, 2020 | 31 | 2020 |
| Network-based structural learning nonnegative matrix factorization algorithm for clustering of scRNA-seq data W Wu, X Ma IEEE/ACM transactions on computational biology and bioinformatics 20 (1 …, 2022 | 25 | 2022 |
| jSRC: a flexible and accurate joint learning algorithm for clustering of single-cell RNA-sequencing data W Wu, Z Liu, X Ma Briefings in bioinformatics 22 (5), bbaa433, 2021 | 24 | 2021 |
| Layer-specific modules detection in cancer multi-layer networks X Ma, W Zhao, W Wu IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (2 …, 2022 | 19 | 2022 |
| An integrated inverse space sparse representation framework for tumor classification X Yang, W Wu, Y Chen, X Li, J Zhang, D Long, L Yang Pattern Recognition 93, 293-311, 2019 | 15 | 2019 |
| Clustering of multilayer networks using joint learning algorithm with orthogonality and specificity of features W Wu, M Gong, X Ma IEEE Transactions on Cybernetics, 2022 | 7 | 2022 |
| Inverse projection representation and category contribution rate for robust tumor recognition X Yang, L Tian, Y Chen, L Yang, S Xu, W Wu IEEE/ACM Transactions on Computational Biology and Bioinformatics 17 (4 …, 2018 | 6 | 2018 |
| Network-based integrative analysis of single-cell transcriptomic and epigenomic data for cell types W Wu, W Zhang, X Ma Briefings in Bioinformatics 23 (2), bbab546, 2022 | 5 | 2022 |
| Multi-view clustering with graph learning for scRNA-seq data W Wu, W Zhang, W Hou, X Ma IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023 | 3 | 2023 |
| Adaptive factorization rank selection-based NMF and its application in tumor recognition X Yang, W Wu, X Xin, L Su, L Xue International Journal of Machine Learning and Cybernetics 12 (9), 2673-2691, 2021 | 3 | 2021 |
| Learning specific and conserved features of multi-layer networks W Wu, T Yang, X Ma, W Zhang, H Li, J Huang, Y Li, J Cui Information Sciences 622, 930-945, 2023 | 2 | 2023 |
| A deep fusion framework for unlabeled data-driven tumor recognition X Yang, W Wu, L Jiao, C Jiao, Z Jiao Pattern Recognition 119, 108066, 2021 | 2 | 2021 |
| Learning deep representation and discriminative features for clustering of multi-layer networks W Wu, X Ma, Q Wang, M Gong, Q Gao Neural Networks 170, 405-416, 2024 | | 2024 |
| Noised Multi-layer Networks Clustering with Graph Denoising and Structure Learning W Wu, W Zhang, M Gong, X Ma IEEE Transactions on Knowledge and Data Engineering, 2023 | | 2023 |
Xiaoke MaXidian University在 xidian.edu.cn 的电子邮件经过验证
