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DGEAR: Differential Gene Expression Analysis with R

Analyses gene expression data derived from microarray experiments to detect differentially expressed genes (DEGs) by employing majority voting across five statistical models: Welch t-test, one-way ANOVA, Dunnett's test, Half's modified t-test, and the Wilcoxon-Mann-Whitney U-test. Combined p-values are computed with Fisher's method. Gene annotation is optional: users may supply a GEO SOFT annotation table or rely on row names directly. Boyer, R.S., Moore, J.S. (1991) <doi:10.1007/978-94-011-3488-0_5>.

Version: 0.2.1
Depends: R (≥ 3.5.0)
Imports: DescTools, metapod
Suggests: spelling, testthat (≥ 3.0.0)
Published: 2026-07-03
DOI: 10.32614/CRAN.package.DGEAR
Author: Koushik Bardhan ORCID iD [aut, cre, ctb], Chiranjib Sarkar ORCID iD [aut, ths]
Maintainer: Koushik Bardhan <koushikbardhan2000 at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: DGEAR results

Documentation:

Reference manual: DGEAR.html , DGEAR.pdf

Downloads:

Package source: DGEAR_0.2.1.tar.gz
Windows binaries: r-devel: DGEAR_0.2.1.zip, r-release: DGEAR_0.2.1.zip, r-oldrel: DGEAR_0.2.1.zip
macOS binaries: r-release (arm64): DGEAR_0.2.1.tgz, r-oldrel (arm64): DGEAR_0.2.1.tgz, r-release (x86_64): DGEAR_0.2.1.tgz, r-oldrel (x86_64): DGEAR_0.2.1.tgz
Old sources: DGEAR archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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