Differential Gene Expression Analysis with R R package DGEAR version 0.2.1 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>. Software Depends: R (>= 3.5.0) Imports: DescTools, metapod Suggests: spelling, testthat (>= 3.0.0) Koushik Bardhan <koushikbardhan2000@gmail.com> Comprehensive R Archive Network (CRAN) Koushik Bardhan [aut, cre, ctb] (ORCID: <https://orcid.org/0009-0002-8846-8347>), Chiranjib Sarkar [aut, ths] (ORCID: <https://orcid.org/0000-0003-1536-7449>) MIT + file LICENSE (https://CRAN.R-project.org/package=DGEAR/LICENSE) 2026-07-03 application/tgz https://CRAN.R-project.org/package=DGEAR doi:10.32614/CRAN.package.DGEAR en-US