RGSEA
This is the development version of RGSEA; for the stable release version, see RGSEA.
Random Gene Set Enrichment Analysis
Bioconductor version: Development (3.21)
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.
Author: Chengcheng Ma
Maintainer: Chengcheng Ma <ccma at sibs.ac.cn>
citation("RGSEA")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("RGSEA")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("RGSEA")| Introduction to RGSEA | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | Classification, GeneSetEnrichment, Software, StatisticalMethod |
| Version | 1.41.0 |
| In Bioconductor since | BioC 3.0 (R-3.1) (10 years) |
| License | GPL(>=3) |
| Depends | R (>= 2.10.0) |
| Imports | BiocGenerics |
| System Requirements | |
| URL |
See More
| Suggests | BiocStyle, GEOquery, knitr, RUnit |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | RGSEA_1.41.0.tar.gz |
| Windows Binary (x86_64) | RGSEA_1.41.0.zip (64-bit only) |
| macOS Binary (x86_64) | RGSEA_1.41.0.tgz |
| macOS Binary (arm64) | RGSEA_1.41.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/RGSEA |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/RGSEA |
| Bioc Package Browser | https://code.bioconductor.org/browse/RGSEA/ |
| Package Short Url | https://bioconductor.org/packages/RGSEA/ |
| Package Downloads Report | Download Stats |