Description
Unbiased Single-Cell Transcriptomic Data Cell Type Identification.
Description
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.
README.md
clustermole: exploratory scRNA-seq cell type analysis
The clustermole R package (available on CRAN) provides methods to query cell identity markers sourced from a variety of databases. It includes three primary features:
- a meta-database of human and mouse markers for thousands of cell types
- cell type prediction based on a set of marker genes
- cell type prediction based on a table of expression values
Check the documentation website for more information.