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clustermole: Cell Type Marker Database for Single-Cell RNA-Seq Data
Provides a meta-database of thousands of human and mouse cell
identity markers curated from multiple sources, along with methods for
cell type prediction based on marker gene overlaps or gene set
enrichment.
| Version: |
1.2.0 |
| Depends: |
R (≥ 4.3) |
| Imports: |
dplyr (≥ 1.1.0), methods, rlang, stats, tibble, tidyr, utils |
| Suggests: |
covr, GSEABase, GSVA (≥ 1.50.0), knitr, rmarkdown, roxygen2, singscore, testthat |
| Published: |
2026-10-07 |
| DOI: |
10.32614/CRAN.package.clustermole |
| Author: |
Igor Dolgalev 
[aut, cre] |
| Maintainer: |
Igor Dolgalev <igor.dolgalev at nyumc.org> |
| BugReports: |
https://github.com/igordot/clustermole/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://igordot.github.io/clustermole/ |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| In views: |
Omics |
| CRAN checks: |
clustermole results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=clustermole
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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