Package: DGEAR 0.2.1

Koushik Bardhan

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>.

Authors:Koushik Bardhan [aut, cre, ctb], Chiranjib Sarkar [aut, ths]

DGEAR_0.2.1.tar.gz
DGEAR_0.2.1.tar.gz(r-4.7-any)DGEAR_0.2.1.tar.gz(r-4.6-any)
DGEAR_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
DGEAR/json (API)

# Install 'DGEAR' in R:
install.packages('DGEAR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.90 score 16 scripts 237 downloads 6 exports 55 dependencies

Last updated from:87ec997169. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK153
source / vignettesOK198
linux-release-x86_64OK152
wasm-releaseOK155

Exports:DGEARperform_anovaperform_dunnett_testperform_h_testperform_t_testperform_wilcox_test

Dependencies:askpassbitbit64bootcellrangerclassclicliprcpp11crayoncurldata.tableDescToolse1071ExactexpmforcatsfsgldgluehavenhmshttrjsonlitelatticelifecyclelmommagrittrMASSMatrixmetapodmimemvtnormopensslpillarpkgconfigprettyunitsprogressproxyR6RcppreadrreadxlrematchrlangrootSolverstudioapisystibbletidyselecttzdbutf8vctrsvroomwithr