Hierarchical reject datasets

<p>Datasets used in the paper 'Uncertainty-aware single-cell annotation with a hierarchical reject option'. &nbsp;This paper uses 5 open-source datasets:</p><p>1. <strong>The Allen Mouse Brain (AMB) dataset</strong> [1]: Filtered_mouse_allen_brain_labels.csv and Filtered_mouse_allen_brain_data.csv</p><p>2. <strong>The COVID dataset</strong> [2]: CocidBALLabel.csv and CovidBALCounts.csv</p><p>3. <strong>The Azimuth PBMC dataset</strong> [3]: pbmc.multimodal.h5ad</p><p>4. from the Flyatlas [4] <strong>the Flyhead&nbsp;dataset</strong>: Flyatlas_Fbbt_head.csv, Flyatlas_head_10x.loom and Flyatlas_Labels_head.csv</p><p>5. from the Flyatlas [4]<i> <strong>the Flybody dataset</strong></i>: Flyatlas_Fbbt_body.csv, Flyatlas_body_10x.loom and Flyatlas_Labels_body.csv</p><p>&nbsp;</p><p>(All the credits of these datasets go to the original creators of the datasets.)</p><p>&nbsp;</p><p><strong>References</strong></p><p>[1] Tasic, B. et al. (2018). Shared and distinct transcriptomic cell types across neocortical areas. Nature, 563 (7729), 72–78. https://doi.org/10.1038/s41586-018-0654-5</p><p>[2] Chan Zuckerberg Initiative Single-Cell COVID-19 Consortia et al. (2020). Single cell profiling ofCOVID-19 patients: an international data resource from multiple tissues. Medrxiv preprint. https://doi.org/10.1101/2020.11.20.20227355</p><p>[3] Stuart, T. et al. (2019). Comprehensive Integration of Single-Cell Data. Cell, 177(7), 1888–1902.e21. https://doi.org/10.1016/j.cell.2019.05.031</p><p>[4] Li, H. et al. (2022). Fly Cell Atlas: A single-nucleus transcriptomic atlas of the adult fruit fly. Science, 375(6584), eabk2432. https://doi.org/10.1126/science.abk2432</p>