| scMerge leverages factor analysis, stable expression, and pseudoreplication to merge multiple single-cell RNA-seq datasets Y Lin, S Ghazanfar, KYX Wang, JA Gagnon-Bartsch, KK Lo, X Su, ZG Han, ... Proceedings of the National Academy of Sciences 116 (20), 9775-9784, 2019 | 144 | 2019 |
| Impact of similarity metrics on single-cell RNA-seq data clustering T Kim, IR Chen, Y Lin, AYY Wang, JYH Yang, P Yang Briefings in bioinformatics 20 (6), 2316-2326, 2019 | 128 | 2019 |
| scClassify: sample size estimation and multiscale classification of cells using single and multiple reference Y Lin, Y Cao, HJ Kim, A Salim, TP Speed, DM Lin, P Yang, JYH Yang Molecular systems biology 16 (6), e9389, 2020 | 95 | 2020 |
| scJoint integrates atlas-scale single-cell RNA-seq and ATAC-seq data with transfer learning Y Lin, TY Wu, S Wan, JYH Yang, WH Wong, YXR Wang Nature biotechnology 40 (5), 703-710, 2022 | 86 | 2022 |
| CiteFuse enables multi-modal analysis of CITE-seq data HJ Kim, Y Lin, TA Geddes, JYH Yang, P Yang Bioinformatics 36 (14), 4137-4143, 2020 | 86 | 2020 |
| Investigating higher-order interactions in single-cell data with scHOT S Ghazanfar, Y Lin, X Su, DM Lin, E Patrick, ZG Han, JC Marioni, ... Nature methods 17 (8), 799-806, 2020 | 59 | 2020 |
| Evaluating stably expressed genes in single cells Y Lin, S Ghazanfar, D Strbenac, A Wang, E Patrick, DM Lin, T Speed, ... GigaScience 8 (9), giz106, 2019 | 57 | 2019 |
| scDC: single cell differential composition analysis Y Cao, Y Lin, JT Ormerod, P Yang, JYH Yang, KK Lo BMC bioinformatics 20, 1-12, 2019 | 51 | 2019 |
| Clonal evolution in liver cancer at single-cell and single-variant resolution X Su, L Zhao, Y Shi, R Zhang, Q Long, S Bai, Q Luo, Y Lin, X Zou, ... Journal of Hematology & Oncology 14, 1-5, 2021 | 36 | 2021 |
| Uncovering cell identity through differential stability with Cepo HJ Kim, K Wang, C Chen, Y Lin, PPL Tam, DM Lin, JYH Yang, P Yang Nature Computational Science 1 (12), 784-790, 2021 | 21 | 2021 |
| Mutational and transcriptomic landscapes of a rare human prostate basal cell carcinoma X Su, Q Long, J Bo, Y Shi, LN Zhao, Y Lin, Q Luo, S Ghazanfar, C Zhang, ... The Prostate 80 (6), 508-517, 2020 | 17 | 2020 |
| scClassify: hierarchical classification of cells Y Lin, Y Cao, HJ Kim, A Salim, TP Speed, D Lin, P Yang, JYH Yang BioRxiv, 776948, 2019 | 13 | 2019 |
| scFeatures: Multi-view representations of single-cell and spatial data for disease outcome prediction Y Cao, Y Lin, E Patrick, P Yang, JYH Yang Bioinformatics 38 (20), 4745-4753, 2022 | 12 | 2022 |
| BIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data X Fu, Y Lin, DM Lin, D Mechtersheimer, C Wang, F Ameen, S Ghazanfar, ... Nature Communications 15 (1), 509, 2024 | 10 | 2024 |
| Gene regulatory network reconstruction: harnessing the power of single-cell multi-omic data D Kim, A Tran, HJ Kim, Y Lin, JYH Yang, P Yang npj Systems Biology and Applications 9 (1), 51, 2023 | 10 | 2023 |
| scMerge: Integration of multiple single-cell transcriptomics datasets leveraging stable expression and pseudo-replication Y Lin, S Ghazanfar, K Wang, JA Gagnon-Bartsch, KK Lo, X Su, ZG Han, ... bioRxiv, 393280, 2018 | 10 | 2018 |
| Housekeeping genes, revisited at the single-cell level Y Lin, S Ghazanfar, D Strbenac, A Wang, E Patrick, T Speed, J Yang, ... bioRxiv, 229815, 2017 | 9 | 2017 |
| 3D reconstruction of spatial expression Y Lin, JYH Yang Nature Methods 19 (5), 526-527, 2022 | 8 | 2022 |
| Construction of a human cell landscape of COVID-19 infection at single-cell level J He, Y Lin, M Meng, J Li, JYH Yang, H Wang Aging and disease 12 (3), 705, 2021 | 8 | 2021 |
| scJoint: transfer learning for data integration of atlas-scale single-cell RNA-seq and ATAC-seq Y Lin, TY Wu, S Wan, JYH Yang, WH Wong, YXR Wang BioRxiv, 2020.12. 31.424916, 2021 | 7 | 2021 |
Jean Yee Hwa YangUniversity of Sydney在 sydney.edu.au 的电子邮件经过验证
