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
Depends: R (≥ 4.0.0)
Imports: Matrix, methods, progress, stats, crayon, reshape2
Suggests: rmarkdown, knitr, testthat
Published: 2022-09-14
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.tar.gz
Windows binaries: r-devel: scCATCH_3.2.zip, r-release: scCATCH_3.2.zip, r-oldrel: scCATCH_3.2.zip
macOS binaries: r-release (arm64): scCATCH_3.2.tgz, r-oldrel (arm64): scCATCH_3.2.tgz, r-release (x86_64): scCATCH_3.2.tgz, r-oldrel (x86_64): scCATCH_3.2.tgz
Old sources: scCATCH archive

Linking:

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