zenodoopen
Library size confounds biology in spatial transcriptomics data
<p>This dataset contains annotated sub-cellular localised spatial measurements from the Visium, Xenium and CosMx platforms. Specifically, it includes datasets analysed in the publication Bhuva et. al, 2023 titled "Library size confounds biology in spatial transcriptomics data". Raw transcript detections are presented. Data is best accessed through the accompanying <em>SubcellularSpatialData</em> R/Bioconductor package. Region files used to annotate individual transcript detections are presented in the form of <a href="https://geojson.org/">GeoJSON</a> files. </p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 4