sccca
Single-Cell Correlation Based Cell Type Annotation
Performing cell type annotation based on cell markers from a unified database. The approach utilizes correlation-based approach combined with association analysis using Fisher-exact and phyper statistical tests (Upton, Graham JG. (1992)).
- Version0.1.1
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release03/13/2024
Team
Mohamed Soudy
Sophie LE BARS
Show author detailsRolesAuthorEnrico Glaab
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 171 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,995 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Mar 16, 2024 with 40 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports6 packages