Package: globalSeq
Version: 1.41.0
Title: Global Test for Counts
Description: 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.
biocViews: GeneExpression, ExonArray, DifferentialExpression,
        GenomeWideAssociation, Transcriptomics, DimensionReduction,
        Regression, Sequencing, WholeGenome, RNASeq, ExomeSeq, miRNA,
        MultipleComparison
Depends: R (>= 3.0.0)
Suggests: knitr, testthat, SummarizedExperiment, S4Vectors
Authors@R: person("Armin","Rauschenberger",email="armin.rauschenberger@uni.lu",role=c("aut","cre"))
VignetteBuilder: knitr
License: GPL-3
LazyData: true
RoxygenNote: 7.0.2
URL: https://github.com/rauschenberger/globalSeq
BugReports: https://github.com/rauschenberger/globalSeq/issues
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:42:11 UTC
RemoteUrl: https://github.com/bioc/globalSeq
RemoteRef: HEAD
RemoteSha: 1e1f5dc10fa1dedcbc001aa7d63ca1d3b90a4276
NeedsCompilation: no
Packaged: 2026-07-07 06:13:03 UTC; root
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>