Published August 2025
| Version 1.0
Dataset
Open
Computational pathology annotation enhances the resolution and interpretation of breast cancer spatial transcriptomics data
Description
This dataset contains two zipped folders:
- images
- spaceranger outputs
needed to reproduce the paper entitled "Computational pathology annotation enhances the resolution and interpretation of breast cancer spatial transcriptomics data". A README file accompanies each folder with details on the files within that folder. The scripts for the analysis are deposited in GitHub with the link attached.
Files
Images.zip
Files
(11.7 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:eb023fe37217d5d52b47b155be510e81
|
10.1 GB | Preview Download |
|
md5:b6373eca73ea86ae15803e861ad8dc20
|
1.5 GB | Preview Download |
Additional details
Software
- Repository URL
- https://github.com/JohanHartmanGroupBioteam/BreastCancer_CTA
- Programming language
- R, Python