| Pattern fusion analysis by adaptive alignment of multiple heterogeneous omics data Q Shi, C Zhang, M Peng, X Yu, T Zeng, J Liu, L Chen Bioinformatics 33 (17), 2706-2714, 2017 | 75 | 2017 |
| Deciphering early development of complex diseases by progressive module network T Zeng, C Zhang, W Zhang, R Liu, J Liu, L Chen Methods 67 (3), 334-343, 2014 | 49 | 2014 |
| Deep latent space fusion for adaptive representation of heterogeneous multi-omics data C Zhang, Y Chen, T Zeng, C Zhang, L Chen Briefings in Bioinformatics 23 (2), bbab600, 2022 | 32 | 2022 |
| Multi-view subspace clustering analysis for aggregating multiple heterogeneous omics data Q Shi, B Hu, T Zeng, C Zhang Frontiers in genetics 10, 744, 2019 | 20 | 2019 |
| Identification of key genes for the ultrahigh yield of rice using dynamic cross-tissue network analysis J Hu, T Zeng, Q Xia, L Huang, Y Zhang, C Zhang, Y Zeng, H Liu, S Zhang, ... Genomics, Proteomics and Bioinformatics 18 (3), 256-270, 2020 | 13 | 2020 |
| Local network component analysis for quantifying transcription factor activities Q Shi, C Zhang, W Guo, T Zeng, L Lu, Z Jiang, Z Wang, J Liu, L Chen Methods 124, 25-35, 2017 | 13 | 2017 |
| Integration of multiple heterogeneous omics data C Zhang, J Liu, Q Shi, X Yu, T Zeng, L Chen 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016 | 12 | 2016 |
| Comparative network stratification analysis for identifying functional interpretable network biomarkers C Zhang, J Liu, Q Shi, T Zeng, L Chen BMC bioinformatics 18, 1-12, 2017 | 8 | 2017 |
| Dynamic network biomarker factors orchestrate cell-fate determination at tipping points during hESC differentiation L Li, Y Xu, L Yan, X Li, F Li, Z Liu, C Zhang, Y Lou, D Gao, X Cheng, ... The Innovation 4 (1), 2023 | 6 | 2023 |
| scDA: Single cell discriminant analysis for single-cell RNA sequencing data Q Shi, X Li, Q Peng, C Zhang, L Chen Computational and Structural Biotechnology Journal 19, 3234-3244, 2021 | 5 | 2021 |
| Differential function analysis: identifying structure and activation variations in dysregulated pathways C Zhang, J Liu, Q Shi, T Zeng, L Chen Science China. Information Sciences 60 (1), 012108, 2017 | 4 | 2017 |
| Spatially aware self-representation learning for tissue structure characterization and spatial functional genes identification C Zhang, X Li, W Huang, L Wang, Q Shi Briefings in Bioinformatics 24 (4), bbad197, 2023 | 3 | 2023 |
| Contrastively generative self-expression model for single-cell and spatial multimodal data C Zhang, Y Yang, S Tang, K Aihara, C Zhang, L Chen Briefings in Bioinformatics 24 (5), bbad265, 2023 | 2 | 2023 |
| Network stratification analysis for identifying function-specific network layers C Zhang, J Wang, C Zhang, J Liu, D Xu, L Chen Molecular BioSystems 12 (4), 1232-1240, 2016 | 2 | 2016 |
| Identification of phenotypic networks based on whole transcriptome by comparative network decomposition C Zhang, J Liu, Q Shi, T Zeng, L Chen 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015 | 2 | 2015 |
