roastgsa
Rotation based gene set analysis
Bioconductor version: 3.24 · Package version: 1.11.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("roastgsa")Details
| Maintainer | Adria Caballe <adria.caballe@irbbarcelona.org> |
| Author | Adria Caballe [aut, cre] (ORCID: <https://orcid.org/0000-0002-2388-4713>) |
| License | GPL-3 |
| Bug Reports | https://github.com/adricaba/roastgsa/issues |
| Downloads rank | 367 |
| Source branch | devel |
| 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 |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | roastgsa_1.11.0.tar.gz |
| Windows binary (x86_64) | roastgsa_1.11.0.zip |
| macOS binary (arm64) | roastgsa_1.11.0.tgz |
| macOS binary (x86_64) | roastgsa_1.11.0.tgz |
Dependencies
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