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GmicR

Bioc current

Combines WGCNA and xCell readouts with bayesian network learrning to generate a Gene-Module Immune-Cell network (GMIC)

v1.26.0 · software · GPL-2 + file LICENSE

Release Lineage

Entered 3.10 · Oct 30, 2019

Current · Requires R 4.6

1.0 In 14 of 49 releases 3.23

Description

This package uses bayesian network learning to detect relationships between Gene Modules detected by WGCNA and immune cell signatures defined by xCell. It is a hypothesis generating tool.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

10 10 exported

Complexity

6 avg / 13 max

Call network

10 nodes / 2 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

2,605

Files

33

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,197 (46%)Docs 476 (18.3%)Vignettes 932 (35.8%)

API

Exported functions

10

Internal functions

3

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

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

System requirements

C++ standard

License

GPL-2 + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

14

First release

2020-02-13

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

2

LOC over versions

v3.10: 2,513 LOCv3.11: 2,605 LOCv3.12: 2,605 LOCv3.13: 2,605 LOCv3.14: 2,605 LOCv3.15: 2,605 LOCv3.16: 2,605 LOCv3.17: 2,605 LOCv3.18: 2,605 LOCv3.19: 2,605 LOCv3.20: 2,605 LOCv3.21: 2,605 LOCv3.22: 2,605 LOCv3.23: 2,605 LOC

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

Documentation

Documentation
READMEYes · 167 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

People

Richard Virgen-Slane

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GmicR")

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 GmicR version 1.26.0 [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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