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GSEMA: Gene Set Enrichment Meta-Analysis

Performing the different steps of gene set enrichment meta-analysis. It provides different functions that allow the application of meta-analysis based on the combination of effect sizes from different pathways in different studies to obtain significant pathways that are common to all of them.

Version: 0.99.3
Depends: R (≥ 4.4)
Imports: Biobase, limma, Rdpack, singscore, GSVA, progress, pbapply, doParallel, parallel, BiocParallel, metafor, RColorBrewer, pheatmap, methods, scales, plyr, grDevices, stats, impute
Suggests: BiocStyle, qpdf, BiocGenerics, RUnit, knitr, rmarkdown
Published: 2024-10-14
DOI: 10.32614/CRAN.package.GSEMA
Author: Juan Antonio Villatoro-García [aut, cre], Pablo Jurado-Bascón [aut], Pedro Carmona-Sáez [aut]
Maintainer: Juan Antonio Villatoro-García <juanantoniovillatorogarcia at gmail.com>
License: GPL-2
NeedsCompilation: no
Materials: NEWS
In views: MetaAnalysis
CRAN checks: GSEMA results

Documentation:

Reference manual: GSEMA.pdf
Vignettes: Gene Set Enrichment Meta-Analysis with GSEMA package (source, R code)

Downloads:

Package source: GSEMA_0.99.3.tar.gz
Windows binaries: r-devel: GSEMA_0.99.3.zip, r-release: GSEMA_0.99.3.zip, r-oldrel: not available
macOS binaries: r-release (arm64): GSEMA_0.99.3.tgz, r-oldrel (arm64): not available, r-release (x86_64): GSEMA_0.99.3.tgz, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GSEMA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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