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clustermole

Unbiased Single-Cell Transcriptomic Data Cell Type Identification

v1.1.1 · Jan 8, 2024 · MIT + file LICENSE

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.

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r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 16, 2026
ERROR 13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Mar 12, 2026
ERROR r-devel-linux-x86_64-fedora-clang

package dependencies

Package required but not available: ‘GSVA’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies dplyr GSEABase GSVA magrittr rlang singscore tibble tidyr clustermole

Version History

new 1.1.1 Mar 10, 2026
updated 1.1.1 ← 1.1.0 diff Jan 7, 2024
updated 1.1.0 ← 1.0.1 diff Jan 25, 2021
updated 1.0.1 ← 1.0.0 diff Jan 26, 2020
new 1.0.0 Jan 19, 2020