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DeeDeeExperiment

Bioc current

DeeDeeExperiment: An S4 Class for managing and exploring omics analysis results

v1.2.0 · software · MIT + file LICENSE

Release Lineage

Entered 3.22 · Oct 30, 2025

Current · Requires R 4.6

1.0 In 2 of 49 releases 3.23

Description

DeeDeeExperiment is an S4 class extending the SingleCellExperiment class, designed to integrate and manage omics analysis results. It introduces two dedicated slots to store Differential Expression Analysis (DEA) results and Functional Enrichment Analysis (FEA) results, providing a structured approach for downstream analysis.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

29 5 exported

Complexity

6.5 avg / 33 max

Call network

29 nodes / 26 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

8,212

Files

86

Compiled share

0%

Has compiled src

No

Language breakdown

R 4,335 (52.8%)Tests 1,239 (15.1%)Docs 1,345 (16.4%)Vignettes 1,293 (15.7%)

API

Exported functions

23

Internal functions

24

Recent export changes

v3.23+3 export_result_for_dde, limma_list_for_dde, muscat_list_for_dde
v3.22+20 getDEAInfo<-, getFEAInfo<-, DeeDeeExperiment +17 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.29

testthat edition

3

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

4.5.0

System requirements

C++ standard

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

2

First release

2025-10-29

Latest release

2026-04-28

Avg cadence

181 days

Cold removal rate

Dep drift

1

LOC over versions

v3.22: 6,837 LOCv3.23: 8,212 LOC

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

Documentation

Documentation
READMEYes · 192 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
43%

Topics

Depended on by (1)

Bioconductor (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DeeDeeExperiment")
Abassi, N., Marini, F., & Schwarz, L. (2026). DeeDeeExperiment: DeeDeeExperiment: An S4 Class for managing and exploring omics analysis results (Version 1.2.0) [Computer software]. https://bioconductor.org/packages/DeeDeeExperiment

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 DeeDeeExperiment version 1.2.0 [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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