clustermole: Unbiased Single-Cell Transcriptomic Data Cell Type Identification
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:
| Reference manual: | clustermole.html , clustermole.pdf |
| Vignettes: |
Introduction to clustermole (source, R code) |
Downloads:
| Package source: | clustermole_1.1.1.tar.gz |
| Windows binaries: | r-devel: clustermole_1.1.1.zip, r-release: clustermole_1.1.1.zip, r-oldrel: clustermole_1.1.1.zip |
| macOS binaries: | r-release (arm64): clustermole_1.1.1.tgz, r-oldrel (arm64): clustermole_1.1.1.tgz, r-release (x86_64): clustermole_1.1.1.tgz, r-oldrel (x86_64): clustermole_1.1.1.tgz |
| Old sources: | clustermole archive |
Linking:
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