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 
[aut, cre, ctb],
Chiranjib Sarkar
[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_0.1.4.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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