CRAN/E | clustermole

clustermole

Unbiased Single-Cell Transcriptomic Data Cell Type Identification

Installation

About

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.

igordot.github.io/clustermole/
Bug report File report

Key Metrics

Version 1.1.1
R ≥ 4.3
Published 2024-01-08 102 days ago
Needs compilation? no
License MIT
License File
CRAN checks clustermole results

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Maintainer

Maintainer

Igor Dolgalev

igor.dolgalev@nyumc.org

Authors

Igor Dolgalev

aut / cre

Material

README
NEWS
Reference manual
Package source

In Views

Omics

Vignettes

Introduction to clustermole

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

clustermole archive

Depends

R ≥ 4.3

Imports

dplyr
GSEABase
GSVA ≥ 1.50.0
magrittr
methods
rlang
singscore
tibble
tidyr
utils

Suggests

covr
knitr
rmarkdown
roxygen2
testthat