Type: Package
Package: clustermole
Title: Unbiased Single-Cell Transcriptomic Data Cell Type
        Identification
Version: 1.1.1
Authors@R: 
    person("Igor", "Dolgalev", , "igor.dolgalev@nyumc.org", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4451-126X"))
Description: Assignment of cell type labels to single-cell RNA sequencing (scRNA-seq) clusters is often a time-consuming process that involves manual inspection of the cluster marker genes complemented with a detailed literature search. This is especially challenging when unexpected or poorly described populations are present. The clustermole R package provides methods to query thousands of human and mouse cell identity markers sourced from a variety of databases.
License: MIT + file LICENSE
URL: https://igordot.github.io/clustermole/
BugReports: https://github.com/igordot/clustermole/issues
Depends: R (>= 4.3)
Imports: dplyr, GSEABase, GSVA (>= 1.50.0), magrittr, methods, rlang,
        singscore, tibble, tidyr, utils
Suggests: covr, knitr, rmarkdown, roxygen2, testthat
VignetteBuilder: knitr
biocViews:
Encoding: UTF-8
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2024-01-08 15:22:18 UTC; id460
Author: Igor Dolgalev [aut, cre] (<https://orcid.org/0000-0003-4451-126X>)
Maintainer: Igor Dolgalev <igor.dolgalev@nyumc.org>
Repository: CRAN
Date/Publication: 2024-01-08 22:20:06 UTC
Built: R 4.6.0; ; 2025-11-02 04:43:00 UTC; windows
