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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>.
Getting started
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Package details |
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| Author | 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>) |
| Maintainer | Koushik Bardhan <koushikbardhan2000@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.2.1 |
| Package repository | View on CRAN |
| Installation |
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