Datasets for cell2cell
Description
Datasets for the tool cell2cell available in: https://github.com/earmingol/cell2cell
This version contains a BALF COVID-19 dataset that consists in 63k immune and epithelial cells in lungs from 3 control, 3 moderate COVID-19, and 6 severe COVID-19 patients.
This dataset was previously published in [1], and this object contains the raw counts for the annotated cell types available in: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE145926
Here we make available the raw counts as h5ad and seurat objects.
Additionally, pathway annotations for genes (.gmt files) were obtained from: https://www.gsea-msigdb.org/
References:
[1] Liao, M., Liu, Y., Yuan, J. et al. Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19. Nat Med 26, 842–844 (2020). https://doi.org/10.1038/s41591-020-0901-9
Files
Files
(1.1 GB)
| Name | Size | Download all |
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md5:6ec1a04fc9222fe53b1e0390e7d1d969
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275.1 MB | Download |
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md5:048db7f2b082b1ce03bd7576d631776b
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533.5 MB | Download |
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md5:5130a653c9c8a17ae1acea0e0122f67e
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266.9 MB | Download |
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md5:d48d572fd220cadc7dd8edb8d766faba
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5.1 MB | Download |
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md5:5b5f42341975431c84b67711cc751471
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100.0 kB | Download |
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md5:8e69cc83837a5e36f23b873fb8b0fd73
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803.0 kB | Download |
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md5:a2498e067518981093b80577c60a41a3
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5.1 MB | Download |
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md5:159d8de00558cca5e2f3b3e5afc3dbf6
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617.0 kB | Download |
Additional details
Related works
- Cites
- Journal article: 10.1038/s41591-020-0901-9 (DOI)