Movatterモバイル変換


[0]ホーム

URL:


scCATCH: Single Cell Cluster-Based Annotation Toolkit for CellularHeterogeneity

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.html ,scCATCH.pdf
Vignettes:scCATCH tutorial (source,R code)

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 formhttps://CRAN.R-project.org/package=scCATCHto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp