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EasyCellType

Bioc current

Annotate cell types for scRNA-seq data

v1.13.0 · Package record · software · Artistic-2.0

Release Lineage

Entered 3.16 · Nov 2, 2022

Current · Requires R 4.6

1.0 In 8 of 49 releases 3.23

Description

We developed EasyCellType which can automatically examine the input marker lists obtained from existing software such as Seurat over the cell markerdatabases. Two quantification approaches to annotate cell types are provided: Gene set enrichment analysis (GSEA) and a modified versio of Fisher's exact test. The function presents annotation recommendations in graphical outcomes: bar plots for each cluster showing candidate cell types, as well as a dot plot summarizing the top 5 significant annotations for each cluster.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

8 5 exported

Complexity

3.6 avg / 8 max

Call network

8 nodes / 5 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

1,180

Files

43

Compiled share

0%

Has compiled src

No

Language breakdown

R 617 (52.3%)Tests 40 (3.4%)Docs 347 (29.4%)Vignettes 176 (14.9%)

API

Exported functions

5

Internal functions

3

Testing

Has tests

Yes

Test-to-code ratio

0.06

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

8.3%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.2.0

System requirements

–

C++ standard

–

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

8

First release

2022-11-01

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

2

LOC over versions

v3.16: 1,083 LOCv3.17: 1,180 LOCv3.18: 1,180 LOCv3.19: 1,180 LOCv3.20: 1,180 LOCv3.21: 1,180 LOCv3.22: 1,180 LOCv3.23: 1,180 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

In the Bioconductor 3.23 release
READMEYes · 74 wordsVignettesYes · 1 · dynamicNEWSYes · 33% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
13
Examples that run
80%4 run in a plain check · 1 hold no code
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Repository practices

Bioconductor git repository

Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.

No development-tooling practices detected in the Bioconductor git repository.

Datasets

Bundled datasets · 5
NameClassSizeAlso in
cellmarker_tissuelist2 elementsNo other package
clustermole_tissuelist2 elementsNo other package
gene_pbmcdata.frame2,701 × 3No other package
panglao_tissuelist2 elementsNo other package
pbmc_datadgCMatrix32,738 × 2,700No other package

3 internal objects are bundled for the package's own use and not listed here.

All of EasyCellType's data objects

Topics

Maintainer
Ruoxing Li

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("EasyCellType")
Li, R., & Li, Z. (2026). EasyCellType: Annotate cell types for scRNA-seq data (Version 1.13.0) [Computer software]. https://bioconductor.org/packages/EasyCellType

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for EasyCellType version 1.13.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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