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: | 1.0.1 |
| 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) |
| Published: | 2020-01-27 |
| 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://github.com/igordot/clustermole |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | clustermole results |
| Reference manual: | clustermole.pdf |
| Vignettes: |
Introduction to clustermole |
| Package source: | clustermole_1.0.1.tar.gz |
| Windows binaries: | r-devel: clustermole_1.0.1.zip, r-release: clustermole_1.0.1.zip, r-oldrel: clustermole_1.0.1.zip |
| macOS binaries: | r-release: clustermole_1.0.1.tgz, r-oldrel: clustermole_1.0.1.tgz |
| Old sources: | clustermole archive |
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