Published 2024
| Version v1
Dataset
Open
Spatial Transcriptomics data - A new spatial multi-omics approach to deeply characterize human cancer tissue using a single slide
Creators
-
1.
Sanofi (France)
-
2.
Université Paris Cité
Contributors
Researchers:
-
1.
Sanofi (France)
-
2.
Université Paris Cité
-
3.
Assistance Publique – Hôpitaux de Paris
Description
Spatial Transcriptomics data (Visium SD assays) generated for the manuscript "A new spatial multi-omics approach to deeply characterize human cancer tissue using a single slide" by Adimi et al. (2024)
Files
17B5776-1_PP_ST.zip
Files
(883.2 MB)
| Name | Size | Download all |
|---|---|---|
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md5:17242ecbee76e6af8b704c2cd1cdb88f
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199.4 MB | Preview Download |
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md5:eb5dc3ea38dd97e028c1df9c3d6b4f7a
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231.1 MB | Preview Download |
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md5:022bba5c8b9522361b97b96338108e76
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219.2 MB | Preview Download |
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md5:d6819712a2170cbfcefdaf9cbf79df68
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114.7 MB | Preview Download |
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md5:704cd120c62d907fd28896b9f9fd8474
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118.8 MB | Preview Download |
Additional details
Related works
- Is part of
- Preprint: 10.1101/2024.10.03.616510 (DOI)
Software
- Repository URL
- https://github.com/EPL-repo/PP_ST_multi
- Programming language
- R, Python, Jupyter Notebook
- Development Status
- Active