Type: Package
Package: clustermole
Title: Unbiased Single-Cell Transcriptomic Data Cell Type
        Identification
Version: 1.1.0
Authors@R: 
    person(given = "Igor",
           family = "Dolgalev",
           role = c("aut", "cre"),
           email = "igor.dolgalev@nyumc.org")
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/,
        https://github.com/igordot/clustermole
BugReports: https://github.com/igordot/clustermole/issues
Depends: R (>= 3.6)
Imports: dplyr, GSEABase, GSVA (>= 1.26.0), magrittr, methods, rlang
        (>= 0.1.2), singscore, tibble, tidyr, utils
Suggests: covr, knitr, prettydoc, rmarkdown, roxygen2, testthat (>=
        2.1.0)
biocViews:
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-01-26 01:25:26 UTC; id460
Author: Igor Dolgalev [aut, cre]
Maintainer: Igor Dolgalev <igor.dolgalev@nyumc.org>
Repository: CRAN
Date/Publication: 2021-01-26 06:40:02 UTC
Built: R 4.0.5; ; 2022-04-21 12:26:43 UTC; windows
