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staRgate

Bioc current

Automated gating pipeline for flow cytometry analysis to characterize the lineage, differentiation, and functional states of T-cells

v1.0.0 · software · MIT + file LICENSE

Release Lineage

Entered 3.23 · Apr 29, 2026

Current · Requires R 4.6

1.0 In 1 of 49 releases 3.23

Description

An R-based automated gating pipeline for flow cytometry data designed to mimic the manual gating strategy of defining flow biomarker positive populations relative to a unimodal background population to include cells with varying intensities of marker expression. The pipeline’s main feature is a flexible density-based gating strategy capable of capturing varying scenarios based on marker expression patterns to analyze a 29-marker flow panel that characterizes T-cell lineage, differentiation, and functional states.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

9 5 exported

Complexity

7.7 avg / 30 max

Call network

9 nodes / 6 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

3,904

Files

52

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,583 (40.5%)Tests 801 (20.5%)Docs 543 (13.9%)Vignettes 977 (25%)

API

Exported functions

5

Internal functions

4

Recent export changes

v3.23+5 getBiexpTransformGS, getCompGS, getDensityGates +2 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.51

testthat edition

3

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.3.0

System requirements

C++ standard

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

1

First release

2026-04-28

Latest release

2026-04-28

Avg cadence

Cold removal rate

Dep drift

0

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

Documentation

Documentation
READMEYes · 128 wordsVignettesYes · dynamicpkgdown siteYesNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("staRgate")
Lee, J., MSK-MIND, NIH P30CA008748, NIH R01CA276286, V foundation, Adamow, M., Callahan, M. K., Ehrich, F., Maher, C., Panageas, K. S., Peng, X., Postow, M. A., Shen, R., & Wong, P. (2026). staRgate: Automated gating pipeline for flow cytometry analysis to characterize the lineage, differentiation, and functional states of T-cells (Version 1.0.0) [Computer software]. https://bioconductor.org/packages/staRgate

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 staRgate version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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