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:

Reference manual:

clustermole.html , clustermole.pdf

Downloads:

Package source:	clustermole_1.2.0.tar.gz
Windows binaries:	r-devel: clustermole_1.1.1.zip, r-release: clustermole_1.1.1.zip, r-oldrel: clustermole_1.2.0.zip
macOS binaries:	r-release (arm64): clustermole_1.2.0.tgz, r-oldrel (arm64): clustermole_1.2.0.tgz, r-release (x86_64): clustermole_1.2.0.tgz, r-oldrel (x86_64): clustermole_1.2.0.tgz
Old sources:	clustermole archive

Linking:

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