This is the development version of roastgsa; for the stable release version, see roastgsa.
Rotation based gene set analysisBioconductor version: Development (3.22)
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] ORCID: 0000-0002-2388-4713
Maintainer: Adria Caballe <adria.caballe at irbbarcelona.org>
Citation (from within R, entercitation("roastgsa")
): 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("roastgsa")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("roastgsa")
Details 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 1.7.0 In Bioconductor since BioC 3.18 (R-4.3) (1.5 years) License GPL-3 Depends R (>= 4.3.0) Imports parallel, grDevices, graphics, utils, stats, methods, grid, RColorBrewer, gplots, ggplot2, limma, Biobase System Requirements URL Bug Reports https://github.com/adricaba/roastgsa/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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