DESpace2: detection of differential spatial patterns in spatial omics data - Supporting Data
-
1.
University of Zurich
-
2.
SIB Swiss Institute of Bioinformatics
- 3. University of Bologna, Bologna, Italy
Description
This Zenodo record contains the necessary input data to reproduce the figures and tables in the manuscript "DESpace2: Detection of Differential Spatial Patterns in Spatial Omics Data".
- ARTISTA_real_analyses: contains gene sets used in the tables of the manuscript.
- Simulation_analyses: contains processed results for all methods using Banksy or BayesSpace clusters (for the ARTISTA and LIBD dataset, respectively). The suffixes `_main` and `_individual` refer to global and individual domain test, respectively. `highly_abundant` or `lowly_abundant` indicate scenarios in which randomly selected spatial domains show higher or lower abundance relative to the rest of the tissue.
The corresponding scripts are available in the ./Figures folder of the following GitHub repository: https://github.com/peicai/DESpace2_manuscript/.
Files
ARTISTA_real_analyses.zip
Files
(55.7 MB)
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Additional details
Software
- Repository URL
- https://github.com/peicai/DESpace2_manuscript/
- Programming language
- R