DExMA
Bioc currentDifferential Expression Meta-Analysis
Release Lineage
Entered 3.13 · May 20, 2021
Current · Requires R 4.6
Description
performing all the steps of gene expression meta-analysis considering the possible existence of missing genes. It provides the necessary functions to be able to perform the different methods of gene expression meta-analysis. In addition, it contains functions to apply quality controls, download GEO datasets and show graphical representations of the results.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
54 12 exported
Complexity
3.3 avg / 15 max
Call network
54 nodes / 41 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
3,209
Files
33
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
12
Internal functions
39
Testing & CI
Has tests
Yes
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
4.1
System requirements
–
C++ standard
–
License
GPL-2
License flags
SPDX valid, OSI approved
History
Versions
11
First release
2021-07-26
Latest release
2026-04-28
Avg cadence
175 days
Cold removal rate
100%
Dep drift
3
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 92%
- Documented parameters
- 94%
- Return-value docs
- 100%
- References docs
- 50%
Topics
People
- Juan Antonio Villatoro-García author maintainer
- Pedro Carmona-Sáez author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("DExMA")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.
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.