Package: RGSEA 1.39.0

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:Chengcheng Ma

RGSEA_1.39.0.tar.gz
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RGSEA.pdf |RGSEA.html✨
RGSEA/json (API)
NEWS

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

Peer review:

Datasets:
  • cmap - Data from Connectivity map build 01
  • e1 - Data from GDS4102
  • e2 - Data from GDS4100

On BioConductor:RGSEA-1.39.0(bioc 3.20)RGSEA-1.38.0(bioc 3.19)

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

bioconductor-package

3 exports 0.82 score 1 dependencies 1 mentions

Last updated 2 months agofrom:47f2de2967

Exports:RGSEAfixRGSEApredictRGSEAsd

Dependencies:BiocGenerics

Introduction to RGSEA

Rendered fromRGSEA.Rnwusingknitr::knitron Jun 30 2024.

Last update: 2014-06-07
Started: 2014-06-07