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gageData

Bioc current

Auxillary data for gage package

v2.50.0 · Package record · experiment · GPL (>=2.0)

Release Lineage

Entered 2.13 · Oct 15, 2013

Current · Requires R 4.6

1.0 In 26 of 49 releases 3.23

Description

This is a supportive data package for the software package, gage. However, the data supplied here are also useful for gene set or pathway analysis or microarray data analysis in general. In this package, we provide two demo microarray dataset: GSE16873 (a breast cancer dataset from GEO) and BMP6 (originally published as an demo dataset for GAGE, also registered as GSE13604 in GEO). This package also includes commonly used gene set data based on KEGG pathways and GO terms for major research species, including human, mouse, rat and budding yeast. Mapping data between common gene IDs for budding yeast are also included.

Advisories

None published for Bioconductor

Code intelligence has not been computed for this package yet.

Code

Structure

Lines of code

423

Files

35

Compiled share

0%

Has compiled src

No

Language breakdown

Docs 423 (100%)

API

Exported functions

0

Internal functions

0

Testing

Has tests

No

Test-to-code ratio

–

testthat edition

–

Docs

Roxygen coverage

–

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

–

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

2.10

System requirements

–

C++ standard

–

License

GPL (>=2.0)

License flags

not SPDX, not OSI

History

Versions

26

First release

2013-12-13

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

0

LOC over versions

v2.13: 423 LOCv2.14: 423 LOCv3.0: 423 LOCv3.1: 423 LOCv3.2: 423 LOCv3.3: 423 LOCv3.4: 423 LOCv3.5: 423 LOCv3.6: 423 LOCv3.7: 423 LOCv3.8: 423 LOCv3.9: 423 LOCv3.10: 423 LOCv3.11: 423 LOCv3.12: 423 LOCv3.13: 423 LOCv3.14: 423 LOCv3.15: 423 LOCv3.16: 423 LOCv3.17: 423 LOCv3.18: 423 LOCv3.19: 423 LOCv3.20: 423 LOCv3.21: 423 LOCv3.22: 423 LOCv3.23: 423 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
READMENoVignettesNoNEWSYes · 67% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
5
Examples that run
100%5 run in a plain check
Exported functions with examples
not tracked
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
100%

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.

Datasets

Bundled datasets · 26
NameClassSizeAlso in
bmp6matrix17,663 × 4No other package
carta.hslist259 elements2 packages
go.sets.hslist17,202 elementsNo other package
go.sets.mmlist17,001 elementsNo other package
go.sets.rnlist16,962 elementsNo other package
go.sets.sclist7,266 elementsNo other package
go.subs.hslist3 elementsNo other package
go.subs.mmlist3 elementsNo other package
go.subs.rnlist3 elementsNo other package
go.subs.sclist3 elementsNo other package
gse16873.2matrix11,979 × 12No other package
gse16873.affyidmatrix19,940 × 12No other package
gse16873.fullmatrix11,979 × 40No other package
hnrnp.cntsmatrix22,932 × 8No other package
kegg.sets.hslist229 elementsNo other package
kegg.sets.kolist358 elementsNo other package
kegg.sets.mmlist225 elementsNo other package
kegg.sets.rnlist225 elementsNo other package
kegg.sets.sclist99 elementsNo other package
orf2egvector6,207 elementsNo other package
sc.genematrix6,201 × 3No other package
sigmet.idx.hsvector177 elementsNo other package
sigmet.idx.kovector288 elementsNo other package
sigmet.idx.mmvector177 elementsNo other package
sigmet.idx.rnvector177 elementsNo other package
sigmet.idx.scvector96 elementsNo other package

All of gageData's data objects

Topics

Maintainer
Weijun Luo

Available on

CRANr2uBioconductorautoCRANCOPR

Suggested by (1)

People (from the free-text Author field)

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("gageData")

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 gageData version 2.50.0 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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