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flowAI

Bioc current

Automatic and interactive quality control for flow cytometry data

v1.42.0 · software · GPL (>= 2)

Release Lineage

Entered 3.3 · May 4, 2016

Current · Requires R 4.6

1.0 In 21 of 49 releases 3.23

Description

The package is able to perform an automatic or interactive quality control on FCS data acquired using flow cytometry instruments. By evaluating three different properties: 1) flow rate, 2) signal acquisition, 3) dynamic range, the quality control enables the detection and removal of anomalies.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

23 2 exported

Complexity

10.2 avg / 75 max

Call network

23 nodes / 13 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

2,008

Files

29

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,626 (81%)Docs 223 (11.1%)Vignettes 159 (7.9%)

API

Exported functions

2

Internal functions

21

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

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

GPL (>= 2)

License flags

SPDX valid, OSI approved

History

Versions

21

First release

2016-08-03

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

5

LOC over versions

v3.3: 1,880 LOCv3.4: 1,834 LOCv3.5: 1,875 LOCv3.6: 1,881 LOCv3.7: 1,895 LOCv3.8: 1,900 LOCv3.9: 1,900 LOCv3.10: 1,900 LOCv3.11: 1,938 LOCv3.12: 1,947 LOCv3.13: 1,967 LOCv3.14: 1,967 LOCv3.15: 1,996 LOCv3.16: 2,000 LOCv3.17: 2,000 LOCv3.18: 2,000 LOCv3.19: 2,000 LOCv3.20: 2,008 LOCv3.21: 2,008 LOCv3.22: 2,008 LOCv3.23: 2,008 LOC

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

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
50%
References docs
0%

Topics

Depended on by (2)

Bioconductor (2)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("flowAI")
Monaco, G., & Hao, C. (2026). flowAI: Automatic and interactive quality control for flow cytometry data (Version 1.42.0) [Computer software]. https://bioconductor.org/packages/flowAI

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 flowAI version 1.42.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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