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.


clustermole: cell type marker database

CRAN R-CMD-check codecov

The clustermole R package (available on CRAN) provides methods to query cell identity markers sourced from a variety of databases. It includes three primary features:

  • a meta-database of human and mouse markers for thousands of cell types
  • cell type prediction based on a set of marker genes
  • cell type prediction based on a table of expression values

Check the documentation website for more information.

Reference manual

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install.packages("clustermole")

1.2.0 by Igor Dolgalev, 5 days ago


https://igordot.github.io/clustermole/


Report a bug at https://github.com/igordot/clustermole/issues


Browse source code at https://github.com/cran/clustermole


Authors: Igor Dolgalev [aut, cre] (ORCID:


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports dplyr, methods, rlang, stats, tibble, tidyr, utils

Suggests covr, GSEABase, GSVA, knitr, rmarkdown, roxygen2, singscore, testthat


See at CRAN