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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.
Getting started
Browse package contents
Package details |
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| Author | Igor Dolgalev [aut, cre] |
| Maintainer | Igor Dolgalev <igor.dolgalev@nyumc.org> |
| License | MIT + file LICENSE |
| Version | 1.1.0 |
| URL | https://igordot.github.io/clustermole/ https://github.com/igordot/clustermole |
| Package repository | View on CRAN |
| Installation |
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