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Analysis results reported in "Learning consistent subcellular landmarks to quantify changes in multiplexed protein maps"

<p>Analysis results reported in &quot;Learning consistent subcellular landmarks to quantify changes in multiplexed protein maps&quot; (<a href="https://www.biorxiv.org/content/10.1101/2022.05.07.490900v1">biorxiv</a>) of <a href="https://doi.org/10.5281/zenodo.7299516">4i data</a>. Analysis of this dataset was done with&nbsp;<a href="https://pypi.org/project/campa/">CAMPA</a>, and all scripts to reproduce these results are available in the<a href="https://github.com/theislab/campa_ana"> CAMPA reproducibility repository</a>.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4