zenodoopen
h5ad (adata) for RNA velocity
<pre>adata files for each cell population and condition. The files were generated using spliced/unspliced transcripts and merged with filtered features, barcodes and counts and, pre-calculated in Seurat. One can load the datasets in python using the command below: </pre> <pre><code class="language-python">import scvelo as scv adata = scv.read('uninfected_keratinocyte.h5ad')</code></pre> <p> </p>
ShareScore
28/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 8
- Reuse readiness
- 8
- Engagement
- 4