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islify

Bioc current

Automatic scoring and classification of cell-based assay images

v1.4.0 · software · GPL-3

Release Lineage

Entered 3.21 · Apr 16, 2025

Current · Requires R 4.6

1.0 In 3 of 49 releases 3.23

Description

This software is meant to be used for classification of images of cell-based assays for neuronal surface autoantibody detection or similar techniques. It takes imaging files as input and creates a composite score from these, that for example can be used to classify samples as negative or positive for a certain antibody-specificity. The reason for its name is that I during its creation have thought about the individual picture as an archielago where we with different filters control the water level as well as ground characteristica, thereby finding islands of interest.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

21 6 exported

Complexity

6.4 avg / 37 max

Call network

21 nodes / 24 edges

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

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Lowest coverage

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

Code

Structure

Lines of code

2,532

Files

50

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,498 (59.2%)Tests 78 (3.1%)Docs 640 (25.3%)Vignettes 316 (12.5%)

API

Exported functions

6

Internal functions

15

Recent export changes

v3.21+6 getIntensityCutoff, getQuantileIntensities, getSizeCutoff +3 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.05

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

100%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.5

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

3

First release

2025-04-15

Latest release

2026-04-28

Avg cadence

189 days

Cold removal rate

Dep drift

0

LOC over versions

v3.21: 2,493 LOCv3.22: 2,532 LOCv3.23: 2,532 LOC

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

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
11%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("islify")
Theorell, J. (2026). islify: Automatic scoring and classification of cell-based assay images (Version 1.4.0) [Computer software]. https://bioconductor.org/packages/islify

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 islify version 1.4.0 [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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