| Comprehensive analysis of spatial architecture in primary liver cancer R Wu, W Guo, X Qiu, S Wang, C Sui, Q Lian, J Wu, Y Shan, Z Yang, ... Science Advances 7 (51), eabg3750, 2021 | 130 | 2021 |
| Integrative genomic analysis of gemcitabine resistance in pancreatic cancer by patient-derived xenograft models G Yang, W Guan, Z Cao, W Guo, G Xiong, F Zhao, M Feng, J Qiu, Y Liu, ... Clinical Cancer Research 27 (12), 3383-3396, 2021 | 45 | 2021 |
| scCancer: a package for automated processing of single-cell RNA-seq data in cancer W Guo, D Wang, S Wang, Y Shan, C Liu, J Gu Briefings in bioinformatics 22 (3), bbaa127, 2021 | 36 | 2021 |
| Elucidating minimal residual disease of paediatric B-cell acute lymphoblastic leukaemia by single-cell analysis Y Zhang, S Wang, J Zhang, C Liu, X Li, W Guo, Y Duan, X Chen, S Zong, ... Nature Cell Biology 24 (2), 242-252, 2022 | 23 | 2022 |
| TIST: transcriptome and histopathological image integrative analysis for spatial transcriptomics Y Shan, Q Zhang, W Guo, Y Wu, Y Miao, H Xin, Q Lian, J Gu Genomics, Proteomics and Bioinformatics 20 (5), 974-988, 2022 | 12 | 2022 |
| Highly Regional Genes: graph-based gene selection for single-cell RNA-seq data Y Wu, Q Hu, S Wang, C Liu, Y Shan, W Guo, R Jiang, X Wang, J Gu Journal of Genetics and Genomics 49 (9), 891-899, 2022 | 11 | 2022 |
| Decoding functional cell–cell communication events by multi-view graph learning on spatial transcriptomics H Li, T Ma, M Hao, W Guo, J Gu, X Zhang, L Wei Briefings in Bioinformatics 24 (6), bbad359, 2023 | 10 | 2023 |
| ClustEx2: gene module identification using density-based network hierarchical clustering Z Ding, W Guo, J Gu 2018 Chinese Automation Congress (CAC), 2407-2412, 2018 | 6 | 2018 |
| Single-cell transcriptomic analysis reveals tumor cell heterogeneity and immune microenvironment features of pituitary neuroendocrine tumors N Yan, W Xie, D Wang, Q Fang, J Guo, Y Chen, X Li, L Gong, J Wang, ... Genome Medicine 16 (1), 2, 2024 | 2 | 2024 |
| JEBIN: analyzing gene co-expressions across multiple datasets by joint network embedding G Wu, X Li, W Guo, Z Wei, T Hu, Y Shan, J Gu Briefings in Bioinformatics 23 (2), bbab603, 2022 | 1 | 2022 |
| HCCDB v2. 0: Decompose expression variations by single-cell RNA-seq and spatial transcriptomics in HCC Z Jiang, Y Wu, Y Miao, K Deng, F Yang, S Xu, Y Wang, R You, L Zhang, ... Genomics, Proteomics & Bioinformatics, qzae011, 2024 | | 2024 |
| scCancer2: data-driven in-depth annotations of the tumor microenvironment at single-level resolution Z Chen, Y Miao, Z Tan, Q Hu, Y Wu, X Li, W Guo, J Gu Bioinformatics 40 (2), btae028, 2024 | | 2024 |
| scStateDynamics: deciphering the drug-responsive tumor cell state dynamics by modeling single-cell level expression changes J Gu, W Guo, X Li, D Wang, N Yan, Q Hu, F Yang, X Zhang, J Yao | | 2023 |
| uniLIVER: a Human Liver Cell Atlas for Data-Driven Cellular State Mapping Y Wu, Y Fan, Y Miao, Y Li, Z Chen, G Du, J Diao, YA Chen, M Ye, R You, ... bioRxiv, 2023.12. 09.570903, 2023 | | 2023 |
| Single-cell and spatially resolved transcriptomics for liver biology P Lin, X Yan, S Jing, Y Wu, Y Shan, W Guo, J Gu, Y Li, H Zhang, H Li Hepatology, 10.1097, 2023 | | 2023 |
| New gene association measures by joint network embedding of multiple gene expression datasets G Wu, X Li, W Guo, Z Wei, T Hu, J Gu bioRxiv, 2020.03. 16.992396, 2020 | | 2020 |
