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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 |
| 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.
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