Type: Package
Package: clustermole
Title: Unbiased Single-Cell Transcriptomic Data Cell Type
        Identification
Version: 1.0.1
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://github.com/igordot/clustermole
BugReports: https://github.com/igordot/clustermole/issues
Depends: R (>= 3.4)
Imports: dplyr, GSVA (>= 1.26.0), magrittr, methods, rlang (>= 0.1.2),
        tibble, tidyr, utils
Suggests: covr, knitr, prettydoc, rmarkdown, roxygen2, testthat (>=
        2.1.0)
biocViews:
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-27 00:13:37 UTC; id460
Author: Igor Dolgalev [aut, cre]
Maintainer: Igor Dolgalev <igor.dolgalev@nyumc.org>
Repository: CRAN
Date/Publication: 2020-01-27 10:00:02 UTC
Built: R 4.0.0; ; 2020-02-27 14:18:04 UTC; windows
