The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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) <doi:10.2307/2982890>).
| Version: | 0.1.1 |
| Imports: | Seurat, dplyr, plyr, scales, HGNChelper, openxlsx |
| Published: | 2024-03-13 |
| Author: | Mohamed Soudy [aut, cre], Sophie LE BARS [aut], Enrico Glaab [aut] |
| Maintainer: | Mohamed Soudy <Mohmedsoudy2009 at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | sccca results |
| Reference manual: | sccca.pdf |
| Package source: | sccca_0.1.1.tar.gz |
| Windows binaries: | r-devel: sccca_0.1.1.zip, r-release: sccca_0.1.1.zip, r-oldrel: sccca_0.1.1.zip |
| macOS binaries: | r-release (arm64): sccca_0.1.1.tgz, r-oldrel (arm64): sccca_0.1.1.tgz, r-release (x86_64): sccca_0.1.1.tgz, r-oldrel (x86_64): sccca_0.1.1.tgz |
| Old sources: | sccca archive |
Please use the canonical form https://CRAN.R-project.org/package=sccca to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.