GSCA
Bioc currentGSCA: Gene Set Context Analysis
Release Lineage
Entered 2.14 · Apr 14, 2014
Current · Requires R 4.6
Description
GSCA takes as input several lists of activated and repressed genes. GSCA then searches through a compendium of publicly available gene expression profiles for biological contexts that are enriched with a specified pattern of gene expression. GSCA provides both traditional R functions and interactive, user-friendly user interface.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
7 7 exported
Complexity
19 avg / 51 max
Call network
7 nodes / 2 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
1,529
Files
36
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
7
Internal functions
0
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
0%
Unsafe pattern score
12
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
2.10.0
System requirements
–
C++ standard
–
License
GPL(>=2)
License flags
not SPDX, not OSI
History
Versions
25
First release
2014-05-09
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
2
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 100%
Datasets
| Name | Class | Rows × Cols | Also in |
|---|---|---|---|
| STAT1_TG | vector | – | – |
| geneIDdata | data.frame | 17,355 × 5 | No other package |
Topics
People
Zhicheng Ji
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("GSCA")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.