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NetActivity

Bioc current

Compute gene set scores from a deep learning framework

v1.14.0 · software · MIT + file LICENSE

Release Lineage

Entered 3.16 · Nov 2, 2022

Current · Requires R 4.6

1.0 In 8 of 49 releases 3.23

Description

#' NetActivity enables to compute gene set scores from previously trained sparsely-connected autoencoders. The package contains a function to prepare the data (`prepareSummarizedExperiment`) and a function to compute the gene set scores (`computeGeneSetScores`). The package `NetActivityData` contains different pre-trained models to be directly applied to the data. Alternatively, the users might use the package to compute gene set scores using custom models.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

2 2 exported

Complexity

11 avg / 13 max

Call network

2 nodes / 0 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

717

Files

19

Compiled share

0%

Has compiled src

No

Language breakdown

R 206 (28.7%)Tests 175 (24.4%)Docs 103 (14.4%)Vignettes 233 (32.5%)

API

Exported functions

2

Internal functions

0

Testing & CI

Has tests

Yes

Test-to-code ratio

0.85

testthat edition

3

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

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1.0

System requirements

C++ standard

License

MIT + file LICENSE

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

0

LOC over versions

v3.16: 717 LOCv3.17: 717 LOCv3.18: 717 LOCv3.19: 717 LOCv3.20: 717 LOCv3.21: 717 LOCv3.22: 717 LOCv3.23: 717 LOC

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

Documentation

Documentation
READMEYes · 76 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode 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("NetActivity")
Ruiz-Arenas, C. (2026). NetActivity: Compute gene set scores from a deep learning framework (Version 1.14.0) [Computer software]. https://bioconductor.org/packages/NetActivity

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 NetActivity version 1.14.0 [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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