Registration Open for Bioc2024 July 24-26


Rotation based gene set analysis

Bioconductor version: Release (3.19)

This package implements a variety of functions useful for gene set analysis using rotations to approximate the null distribution. It contributes with the implementation of seven test statistic scores that can be used with different goals and interpretations. Several functions are available to complement the statistical results with graphical representations.

Author: Adria Caballe [aut, cre]

Maintainer: Adria Caballe <adria.caballe at>

Citation (from within R, enter citation("roastgsa")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

roastgsa vignette (gene set collections) HTML R Script
roastgsa vignette (main) HTML R Script
roastgsa vignette (RNAseq) HTML R Script
Reference Manual PDF


biocViews AlternativeSplicing, BatchEffect, Bayesian, BiomedicalInformatics, CellBiology, Cheminformatics, Clustering, DataImport, DifferentialExpression, DifferentialSplicing, Epigenetics, ExonArray, FunctionalGenomics, GeneExpression, GeneSetEnrichment, ImmunoOncology, Metabolomics, MicroRNAArray, Microarray, MultipleComparison, Normalization, OneChannel, Pathways, Preprocessing, ProprietaryPlatforms, Proteomics, QualityControl, RNASeq, Regression, Sequencing, Software, Survival, SystemsBiology, TimeCourse, Transcription, Transcriptomics, TwoChannel, mRNAMicroarray
Version 1.2.0
In Bioconductor since BioC 3.18 (R-4.3) (0.5 years)
License GPL-3
Depends R (>= 4.3.0)
Imports parallel, grDevices, graphics, utils, stats, methods, grid, RColorBrewer, gplots, ggplot2, limma, Biobase
System Requirements
Bug Reports
See More
Suggests BiocStyle, knitr, rmarkdown, GSEABenchmarkeR, EnrichmentBrowser, preprocessCore, DESeq2
Linking To
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 roastgsa_1.2.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) roastgsa_1.2.0.tgz
macOS Binary (arm64) roastgsa_1.2.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Bioc Package Browser
Package Short Url
Package Downloads Report Download Stats