DOI: 10.18129/B9.bioc.roastgsa  

Rotation based gene set analysis

Bioconductor version: Release (3.18)

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")):


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


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


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 1.0.0
In Bioconductor since BioC 3.18 (R-4.3) (< 6 months)
License GPL-3
Depends R (>= 4.3.0)
Imports parallel, grDevices, graphics, utils, stats, methods, grid, RColorBrewer, gplots, ggplot2, limma, Biobase
Suggests BiocStyle, knitr, rmarkdown, GSEABenchmarkeR, EnrichmentBrowser, preprocessCore, DESeq2
Depends On Me
Imports Me
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Source Package roastgsa_1.0.0.tar.gz
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macOS Binary (arm64) roastgsa_1.0.0.tgz
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