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An automatic cluster-based annotation pipeline based on evidence-based score by matching the marker genes with known cell markers in tissue-specific cell taxonomy reference database for single-cell RNA-seq data. See Shao X, et al (2020) <doi:10.1016/j.isci.2020.100882> for more details.
Version: | 3.2.2 |
Depends: | R (≥ 4.0.0) |
Imports: | Matrix, methods, progress, stats, reshape2 |
Suggests: | rmarkdown, knitr, testthat, prettydoc |
Published: | 2023-04-23 |
DOI: | 10.32614/CRAN.package.scCATCH |
Author: | Xin Shao |
Maintainer: | Xin Shao <xin_shao at zju.edu.cn> |
License: | GPL (≥ 3) |
URL: | https://github.com/ZJUFanLab/scCATCH |
NeedsCompilation: | no |
Citation: | scCATCH citation info |
Materials: | README |
CRAN checks: | scCATCH results |
Reference manual: | scCATCH.pdf |
Vignettes: |
scCATCH tutorial |
Package source: | scCATCH_3.2.2.tar.gz |
Windows binaries: | r-devel: scCATCH_3.2.2.zip, r-release: scCATCH_3.2.2.zip, r-oldrel: scCATCH_3.2.2.zip |
macOS binaries: | r-release (arm64): scCATCH_3.2.2.tgz, r-oldrel (arm64): scCATCH_3.2.2.tgz, r-release (x86_64): scCATCH_3.2.2.tgz, r-oldrel (x86_64): scCATCH_3.2.2.tgz |
Old sources: | scCATCH archive |
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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.