1 Introduction | 2 Example Datset Description | 3 Running RGSEA | 4 References
Package: RGSEA 1.46.0
Chengcheng Ma
RGSEA: Random Gene Set Enrichment Analysis
Combining bootstrap aggregating and Gene set enrichment analysis (GSEA), RGSEA is a classfication algorithm with high robustness and no over-fitting problem. It performs well especially for the data generated from different exprements.
Authors:
RGSEA_1.46.0.tar.gz
RGSEA_1.46.0.zip(r-4.7-any)RGSEA_1.46.0.zip(r-4.6-any)RGSEA_1.46.0.zip(r-4.5-any)
RGSEA_1.46.0.tgz(r-4.6-any)RGSEA_1.46.0.tgz(r-4.5-any)
RGSEA_1.46.0.tar.gz(r-4.7-any)RGSEA_1.46.0.tar.gz(r-4.6-any)
RGSEA_1.46.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
RGSEA/json (API)
| # Install 'RGSEA' in R: |
| install.packages('RGSEA', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:RGSEA-1.47.0(bioc 3.24)RGSEA-1.46.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
genesetenrichmentstatisticalmethodclassification
Last updated from:32058e0fab (on RELEASE_3_23). Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 127 | ||
| linux-devel | NOTE | 190 | ||
| source / vignettes | OK | 251 | ||
| linux-release | NOTE | 382 | ||
| macos-release | NOTE | 124 | ||
| macos-oldrel | NOTE | 129 | ||
| windows-devel | NOTE | 87 | ||
| windows-release | NOTE | 78 | ||
| windows-oldrel | NOTE | 74 | ||
| wasm-release | OK | 129 |
Exports:RGSEAfixRGSEApredictRGSEAsd
Dependencies:BiocGenericsgenerics
