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scCATCH: Single Cell Cluster-Based Annotation Toolkit for Cellular Heterogeneity

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

Documentation:

Reference manual: scCATCH.pdf
Vignettes: scCATCH tutorial

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=scCATCH 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.
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