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GeneExpressionSignature

Bioc current

Gene Expression Signature based Similarity Metric

v1.58.0 · software · GPL-2

Release Lineage

Entered 2.9 · Nov 1, 2011

Current · Requires R 4.6

1.0 In 30 of 49 releases 3.23

Description

This package gives the implementations of the gene expression signature and its distance to each. Gene expression signature is represented as a list of genes whose expression is correlated with a biological state of interest. And its distance is defined using a nonparametric, rank-based pattern-matching strategy based on the Kolmogorov-Smirnov statistic. Gene expression signature and its distance can be used to detect similarities among the signatures of drugs, diseases, and biological states of interest.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

18 5 exported

Complexity

5.6 avg / 28 max

Call network

18 nodes / 17 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

1,641

Files

38

Compiled share

0%

Has compiled src

No

Language breakdown

R 895 (54.5%)Docs 347 (21.1%)Vignettes 399 (24.3%)

API

Exported functions

5

Internal functions

13

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

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

4.0

System requirements

C++ standard

License

GPL-2

License flags

SPDX valid, OSI approved

History

Versions

30

First release

2011-10-31

Latest release

2026-04-28

Avg cadence

183 days

Cold removal rate

100%

Dep drift

4

LOC over versions

v2.9: 555 LOCv2.10: 555 LOCv2.11: 707 LOCv2.12: 718 LOCv2.13: 718 LOCv2.14: 988 LOCv3.0: 988 LOCv3.1: 988 LOCv3.2: 988 LOCv3.3: 988 LOCv3.4: 988 LOCv3.5: 988 LOCv3.6: 988 LOCv3.7: 988 LOCv3.8: 988 LOCv3.9: 988 LOCv3.10: 988 LOCv3.11: 988 LOCv3.12: 988 LOCv3.13: 1,641 LOCv3.14: 1,641 LOCv3.15: 1,641 LOCv3.16: 1,641 LOCv3.17: 1,641 LOCv3.18: 1,641 LOCv3.19: 1,641 LOCv3.20: 1,641 LOCv3.21: 1,641 LOCv3.22: 1,641 LOCv3.23: 1,641 LOC

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

Documentation

Documentation
READMEYes · 198 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductYesContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
14%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GeneExpressionSignature")
Cao, Y., Han, L., & Li, F. (2026). GeneExpressionSignature: Gene Expression Signature based Similarity Metric (Version 1.58.0) [Computer software]. https://bioconductor.org/packages/GeneExpressionSignature

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for GeneExpressionSignature version 1.58.0 [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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