DGEAR: Differential Gene Expression Analysis with R

Analyses gene expression data derived from experiments to detect differentially expressed genes by employing the concept of majority voting with five different statistical models. It includes functions for differential expression analysis, significance testing, etc. It simplifies the process of uncovering meaningful patterns and trends within gene expression data, aiding researchers in downstream analysis. Boyer, R.S., Moore, J.S. (1991) <doi:10.1007/978-94-011-3488-0_5>.

Version: 0.1.3
Depends: R (≥ 2.10)
Imports: DescTools
Suggests: testthat (≥ 3.0.0)
Published: 2023-08-30
Author: Koushik Bardhan ORCID iD [aut, cre, ctb], Chiranjib Sarkar ORCID iD [aut, ths]
Maintainer: Koushik Bardhan <koushikbardhan2000 at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: DGEAR results

Documentation:

Reference manual: DGEAR.pdf

Downloads:

Package source: DGEAR_0.1.3.tar.gz
Windows binaries: r-devel: DGEAR_0.1.3.zip, r-release: DGEAR_0.1.3.zip, r-oldrel: DGEAR_0.1.3.zip
macOS binaries: r-release (arm64): DGEAR_0.1.3.tgz, r-oldrel (arm64): DGEAR_0.1.3.tgz, r-release (x86_64): DGEAR_0.1.3.tgz

Linking:

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