DESCRIPTION

Type: Package
Package: clustermole
Title: Unbiased Single-Cell Transcriptomic Data Cell Type Identification
Version: 1.1.1.9000
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: 7.3.1