This is the released version of globalSeq; for the devel version, see globalSeq.
Global Test for CountsBioconductor version: Release (3.21)
The method may be conceptualised as a test of overall significance in regression analysis, where the response variable is overdispersed and the number of explanatory variables exceeds the sample size. Useful for testing for association between RNA-Seq and high-dimensional data.
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger at uni.lu>
Citation (from within R, entercitation("globalSeq")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("globalSeq")
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("globalSeq")
Details biocViews DifferentialExpression, DimensionReduction, ExomeSeq, ExonArray, GeneExpression, GenomeWideAssociation, MultipleComparison, RNASeq, Regression, Sequencing, Software, Transcriptomics, WholeGenome, miRNA Version 1.36.0 In Bioconductor since BioC 3.3 (R-3.3) (9 years) License GPL-3 Depends R (>= 3.0.0) Imports System Requirements URL https://github.com/rauschenberger/globalSeq Bug Reports https://github.com/rauschenberger/globalSeq/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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