Package: globalSeq 1.33.0

Armin Rauschenberger

globalSeq: Global Test for Counts

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.

Authors:Armin Rauschenberger [aut, cre]

globalSeq_1.33.0.tar.gz
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globalSeq_1.33.0.tgz(r-4.4-any)globalSeq_1.33.0.tgz(r-4.3-any)
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globalSeq.pdf |globalSeq.html✨
globalSeq/json (API)
NEWS

# Install 'globalSeq' in R:
install.packages('globalSeq', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rauschenberger/globalseq/issues

Datasets:

    On BioConductor:globalSeq-1.33.0(bioc 3.20)globalSeq-1.32.0(bioc 3.19)

    bioconductor-package

    15 exports 1.08 score 0 dependencies

    Last updated 2 months agofrom:3ad762b237

    Exports:cursusintern.chromointern.convaintern.covintern.crudeintern.estimintern.focusintern.matrixintern.permuintern.plotintern.samintern.scoreintern.selectomnibusproprius

    Dependencies:

    article frame

    Rendered fromarticle.Rmdusingknitr::rmarkdownon Jun 30 2024.

    Last update: 2020-03-02
    Started: 2017-04-12

    vignette frame

    Rendered fromvignette.Rmdusingknitr::rmarkdownon Jun 30 2024.

    Last update: 2020-03-02
    Started: 2017-04-12

    vignette source

    Rendered fromglobalSeq.Rnwusingknitr::knitron Jun 30 2024.

    Last update: 2019-01-29
    Started: 2015-11-13