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NetActivity

Bioc current

Compute gene set scores from a deep learning framework

v1.14.0 · Package record · 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.

Advisories

None published for Bioconductor

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

16

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

Has tests

Yes

Test-to-code ratio

0.85

testthat edition

3

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

In the Bioconductor 3.23 release
READMEYes · 76 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
3includes a package overview page
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

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.

Topics

Maintainer
Carlos Ruiz-Arenas

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("NetActivity")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1093/nar/gkae197.

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 v2026-10-25. 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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