Single Cell Cluster-Based Annotation Toolkit for Cellular Heterogeneity
Overview
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.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Xin Shao<xin_shao@zju.edu.cn>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Xin",
family = "Shao",
role = c("aut", "cre"),
email = "xin_shao@zju.edu.cn")
as necessary.- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 10
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 43%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 8
- Median days to close, 50 most recently updated closed PRs
- 0
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1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/zjufanlab/sccatch on 2026-10-11.
Dependencies
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2022-01-07
- Total releases
- 5 / 4 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 1.1 MB / 2 files
- Download size
- 1.8 MB
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