| Statistics or biology: the zero-inflation controversy about scRNA-seq data R Jiang, T Sun, D Song, JJ Li Genome biology 23 (1), 31, 2022 | 224 | 2022 |
| scDesign2: a transparent simulator that generates high-fidelity single-cell gene expression count data with gene correlations captured T Sun, D Song, WV Li, JJ Li Genome biology 22 (1), 163, 2021 | 103 | 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 | 70 | 2024 |
| scdesign2: an interpretable simulator that generates high-fidelity single-cell gene expression count data with gene correlations captured T Sun, D Song, WV Li, JJ Li bioRxiv, 2020.11. 17.387795, 2020 | 8 | 2020 |
| Simulating single-cell gene expression count data with preserved gene correlations by scDesign2 T Sun, D Song, WV Li, JJ Li Journal of Computational Biology 29 (1), 23-26, 2022 | 3 | 2022 |
| Publisher Correction: scDesign2: a transparent simulator that generates high-fidelity single-cell gene expression count data with gene correlations captured T Sun, D Song, WV Li, JJ Li Genome biology 22, 177, 2021 | 2 | 2021 |
| scCDC: a computational method for gene-specific contamination detection and correction in single-cell and single-nucleus RNA-seq data W Wang, Y Cen, Z Lu, Y Xu, T Sun, Y Xiao, W Liu, JJ Li, C Wang Genome Biology 25 (1), 136, 2024 | | 2024 |
| Author Correction: scDesign2: a transparent simulator that generates high-fidelity single-cell gene expression count data with gene correlations captured T Sun, D Song, WV Li, JJ Li Genome biology 24, 32, 2023 | | 2023 |
| Statistical Simulation and Analysis of Single-cell RNA-seq Data T Sun University of California, Los Angeles, 2023 | | 2023 |
