| Classification of autism spectrum disorder by combining brain connectivity and deep neural network classifier Y Kong, J Gao, Y Xu, Y Pan, J Wang, J Liu Neurocomputing 324, 63-68, 2019 | 243 | 2019 |
| Single-cell clustering based on shared nearest neighbor and graph partitioning X Zhu, J Zhang, Y Xu, J Wang, X Peng, HD Li Interdisciplinary sciences: computational life sciences 12, 117-130, 2020 | 32 | 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 | 31 | 2020 |
| A hybrid clustering algorithm for identifying cell types from single-cell RNA-seq data X Zhu, HD Li, Y Xu, L Guo, FX Wu, G Duan, J Wang Genes 10 (2), 98, 2019 | 15 | 2019 |
| A gene rank based approach for single cell similarity assessment and clustering Y Xu, HD Li, Y Pan, F Luo, FX Wu, J Wang IEEE/ACM transactions on computational biology and bioinformatics 18 (2 …, 2019 | 12 | 2019 |
| CellBRF: a feature selection method for single-cell clustering using cell balance and random forest Y Xu, HD Li, CX Lin, R Zheng, Y Li, J Xu, J Wang Bioinformatics 39 (Supplement_1), i368-i376, 2023 | 10 | 2023 |
| BioRank: A similarity assessment method for single cell clustering Y Xu, HD Li, Y Pan, F Luo, J Wang 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 6 | 2018 |
| REBET: a method to determine the number of cell clusters based on batch effect removal ZY Fang, CX Lin, YP Xu, HD Li, QS Xu Briefings in Bioinformatics 22 (6), bbab204, 2021 | 5 | 2021 |
| ClusterMine: A knowledge-integrated clustering approach based on expression profiles of gene sets HD Li, Y Xu, X Zhu, Q Liu, GS Omenn, J Wang Journal of bioinformatics and computational biology 18 (03), 2040009, 2020 | 5 | 2020 |
| A global similarity learning for clustering of single-cell RNA-seq data X Zhu, L Guo, Y Xu, HD Li, X Liao, FX Wu, X Peng 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 5 | 2019 |
| Isocell: An approach to enhance single cell clustering by integrating isoform-level expression through orthogonal projection Y Liu, HD Li, Y Xu, YW Liu, X Peng, J Wang IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (1 …, 2022 | 4 | 2022 |
| Rfcell: A gene selection approach for scrna-seq clustering based on permutation and random forest Y Zhao, ZY Fang, CX Lin, C Deng, YP Xu, HD Li Frontiers in genetics 12, 665843, 2021 | 4 | 2021 |
| scCAD: Cluster decomposition-based anomaly detection for rare cell identification in single-cell expression data Y Xu, S Wang, Q Feng, J Xia, Y Li, HD Li, J Wang Nature Communications 15 (1), 7561, 2024 | 3 | 2024 |
| FEED: a feature selection method based on gene expression decomposition for single cell clustering C Zhang, ZW Duan, YP Xu, J Liu, HD Li Briefings in Bioinformatics 24 (6), bbad389, 2023 | 1 | 2023 |
| A network enhancement-based method for clustering of single cell RNA-seq data X Zhu, L Guo, R Li, Y Xu, FX Wu, X Peng, HD Li International Journal of Data Mining and Bioinformatics 24 (4), 306-325, 2020 | 1 | 2020 |
