| RA3 is a reference-guided approach for epigenetic characterization of single cells S Chen, G Yan, W Zhang, J Li, R Jiang, Z Lin Nature communications 12 (1), 2177, 2021 | 42 | 2021 |
| scDesign3 generates realistic in silico data for multimodal single-cell and spatial omics D Song, Q Wang, G Yan, T Liu, T Sun, JJ Li Nature Biotechnology 42 (2), 247-252, 2024 | 25 | 2024 |
| Robust estimation and shrinkage in ultrahigh dimensional expectile regression with heavy tails and variance heterogeneity J Zhao, G Yan, Y Zhang Statistical Papers, 1-28, 2022 | 11 | 2022 |
| Semiparametric expectile regression for high-dimensional heavy-tailed and heterogeneous data J Zhao, G Yan, Y Zhang arXiv preprint arXiv:1908.06431, 2019 | 3 | 2019 |
| A unified framework of realistic in silico data generation and statistical model inference for single-cell and spatial omics D Song, Q Wang, G Yan, T Liu, JJ Li bioRxiv, 2022.09. 20.508796, 2022 | 2 | 2022 |
| scReadSim: a single-cell multi-omics read simulator G Yan, JJ Li bioRxiv, 2022.05. 29.493924, 2022 | 2 | 2022 |
| A reference-guided approach for epigenetic characterization of single cells S Chen, G Yan, W Zhang, J Li, R Jiang, Z Lin bioRxiv, 2020.06. 16.155010, 2020 | 1 | 2020 |
| scReadSim: a single-cell RNA-seq and ATAC-seq read simulator G Yan, D Song, JJ Li Nature Communications 14 (1), 7482, 2023 | | 2023 |
| Empirical likelihood based tests for detecting the presence of significant predictors in marginal quantile regression S Tang, H Wang, G Yan, L Zhang Metrika 86 (2), 149-179, 2023 | | 2023 |
| Benchmarking computational methods to identify spatially variable genes and peaks Z Li, ZM Patel, D Song, G Yan, JJ Li, L Pinello Biorxiv, 2023.12. 02.569717, 2023 | | 2023 |
Jingyi Jessica LiProfessor, Department of Statistics, University of California at Los Angeles (UCLA)כתובת אימייל מאומתת בדומיין stat.ucla.edu
