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: | 0.1.4 |
| Depends: | R (≥ 2.10) |
| Imports: | DescTools |
| Suggests: | spelling, testthat (≥ 3.0.0) |
| Published: | 2024-06-26 |
| 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.pdf |
Downloads:
| Package source: | DGEAR_0.1.4.tar.gz |
| Windows binaries: | r-devel: DGEAR_0.1.4.zip, r-release: DGEAR_0.1.4.zip, r-oldrel: DGEAR_0.1.4.zip |
| macOS binaries: | r-release (arm64): DGEAR_0.1.4.tgz, r-oldrel (arm64): DGEAR_0.1.4.tgz, r-release (x86_64): DGEAR_0.1.4.tgz, r-oldrel (x86_64): DGEAR_0.1.4.tgz |
| Old sources: | DGEAR archive |
Linking:
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