1 Introduction | 2 Example Datset Description | 3 Running RGSEA | 4 References
Package: RGSEA 1.47.0
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_1.47.0.tar.gz
RGSEA_1.47.0.zip(r-4.7-any)RGSEA_1.47.0.zip(r-4.6-any)RGSEA_1.47.0.zip(r-4.5-any)
RGSEA_1.47.0.tgz(r-4.6-any)RGSEA_1.47.0.tgz(r-4.5-any)
RGSEA_1.47.0.tar.gz(r-4.7-any)RGSEA_1.47.0.tar.gz(r-4.6-any)
RGSEA_1.47.0.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.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:eba6181a28. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 138 | ||
| linux-devel | NOTE | 223 | ||
| source / vignettes | OK | 235 | ||
| linux-release | NOTE | 218 | ||
| macos-release | NOTE | 125 | ||
| macos-oldrel | NOTE | 94 | ||
| windows-devel | NOTE | 85 | ||
| windows-release | NOTE | 78 | ||
| windows-oldrel | NOTE | 66 | ||
| wasm-release | OK | 101 |
Exports:RGSEAfixRGSEApredictRGSEAsd
Dependencies:BiocGenericsgenerics
