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.


Reference manual

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1.1.0 by Igor Dolgalev, 9 months ago

https://igordot.github.io/clustermole/, https://github.com/igordot/clustermole

Report a bug at https://github.com/igordot/clustermole/issues

Browse source code at https://github.com/cran/clustermole

Authors: Igor Dolgalev [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports dplyr, GSEABase, GSVA, magrittr, methods, rlang, singscore, tibble, tidyr, utils

Suggests covr, knitr, prettydoc, rmarkdown, roxygen2, testthat

See at CRAN