RGSEA
This is the released version of RGSEA; for the devel version, see RGSEA.
Random Gene Set Enrichment Analysis
Bioconductor version: Release (3.23)
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")):
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
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 | 1.46.0 |
| In Bioconductor since | BioC 3.0 (R-3.1) (12 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_1.46.0.tar.gz |
| Windows Binary (x86_64) | RGSEA_1.46.0.zip (64-bit only) |
| macOS Binary (big-sur-x86_64) | RGSEA_1.46.0.tgz |
| macOS Binary (sonoma-arm64) | RGSEA_1.46.0.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 |