Table 2.
Summary of single-cell datasets used in this study
| Datasets | Number of cells | Download link |
|---|---|---|
| Paul | 2,730 | “scanpy.datasets.paul15()” |
| Nestorowa | 1,656 | https://github.com/theislab/paga/blob/master/blood/nestorowa16/nestorowa16.ipynb |
| Pancreas | 3,696 | https://scvelo.readthedocs.io/en/stable/scvelo.datasets.pancreas/ |
| Lymphoid | 8,221 | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE129785 |
| Embryoid Body | 16,821 | https://data.mendeley.com/datasets/v6n743h5ng/1 |
| Arabidopsis root atlas | 110,427 | https://github.com/Hsu-Che-Wei/COPILOT |
| mouse brain | 3,210 | https://github.com/chanzuckerberg/scRNA-python-workshop/blob/master/content/preprocessing |
| tosches turtle | 18,664 | https://cblast.gao-lab.org/download |
| tosches lizard | 4,187 | https://cblast.gao-lab.org/download |
| lake2018 | 35,289 | https://cblast.gao-lab.org/download |
| Ximerakis | 37,069 | https://cblast.gao-lab.org/download |
The table lists dataset names, cell counts, and their repository links. Cell counts represent the total number of cells analyzed after quality control and preprocessing.