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.
Version: 1.1.1 Depends: R (≥ 4.3) Imports: dplyr, GSEABase, GSVA (≥ 1.50.0), magrittr, methods, rlang, singscore, tibble, tidyr, utils Suggests: covr, knitr, rmarkdown, roxygen2, testthat Published: 2024-01-08 DOI: 10.32614/CRAN.package.clustermole Author: Igor Dolgalev [aut, cre] Maintainer: Igor Dolgalev <igor.dolgalev at nyumc.org> BugReports: https://github.com/igordot/clustermole/issues License: MIT + file LICENSE URL: https://igordot.github.io/clustermole/ NeedsCompilation: no Materials: README NEWS In views: Omics CRAN checks: clustermole results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=clustermole to link to this page.
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