Package: globalSeq
Version: 1.10.1
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: ImmunoOncology, 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="a.rauschenberger@vumc.nl",role=c("aut","cre"))
VignetteBuilder: knitr
License: GPL-3
LazyData: true
RoxygenNote: 6.0.1
URL: https://github.com/rauschenberger/globalSeq
BugReports: https://github.com/rauschenberger/globalSeq/issues
git_url: https://git.bioconductor.org/packages/globalSeq
git_branch: RELEASE_3_8
git_last_commit: ff16856
git_last_commit_date: 2019-01-04
Date/Publication: 2019-01-04
NeedsCompilation: no
Packaged: 2019-01-05 03:42:20 UTC; biocbuild
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <a.rauschenberger@vumc.nl>
Built: R 3.5.2; ; 2019-01-05 12:05:53 UTC; windows
