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This package was removed from CRAN on 2026-01-29. Its history is shown below.
Reason: requires archived package 'parglm'
Details below reflect version 0.2.0, its last release before removal.

DEGRE

0.2.0

Inferring Differentially Expressed Genes using Generalized Linear Mixed Models

0packages depend
downloads / year
test coverage
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Overview

About
Maintained by Douglas Terra Machado2 releasesCRAN page ↗

Genes that are differentially expressed between two or more experimental conditions can be detected in RNA-Seq. A high biological variability may impact the discovery of these genes once it may be divergent between the fixed effects. However, this variability can be covered by the random effects. 'DEGRE' was designed to identify the differentially expressed genes considering fixed and random effects on individuals. These effects are identified earlier in the experimental design matrix. 'DEGRE' has the implementation of preprocessing procedures to clean the near zero gene reads in the count matrix, normalize by 'RLE' published in the 'DESeq2' package, 'Love et al. (2014)' doi:10.1186/s13059-014-0550-8 and it fits a regression for each gene using the Generalized Linear Mixed Model with the negative binomial distribution, followed by a Wald test to assess the regression coefficients.

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Health

CRAN checks

CRAN check results are not tracked yet.

Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
10
Dependencies · direct

Documentation

Documentation
READMEYes · 1,572 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
67%
Documented parameters
97%
Return-value docs
100%
References docs
0%

Downloads

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Also on84 r2u

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
indirect (not tracked)

Nothing depends on this yet.

Code & Tests

People & History

Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • archivedRemoved from CRAN
    2026-01-29
    requires archived package 'parglm'
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.2.0
    2022-11-02 · diff ↗
  • 0.1.0
    2022-11-01
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

Total releases
2
License
Artistic-2.0 OSI
Minimum R
≥ 4.0
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DEGRE")
Terra Machado, D., Bernardes Brustolini, O. J., Côrtes Martins, Y., Grivet Mattoso Maia, M. A., & Ribeiro de Vasconcelos, A. T. (n.d.). DEGRE: Inferring Differentially Expressed Genes using Generalized Linear Mixed Models (Version 0.2.0) [Computer software]. Retrieved August 15, 2026, from https://CRAN.R-project.org/package=DEGRE

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 DEGRE version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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