Package: globalSeq 1.41.0

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_1.41.0.tar.gz
globalSeq_1.41.0.zip(r-4.7)globalSeq_1.41.0.zip(r-4.6)globalSeq_1.41.0.zip(r-4.5)
globalSeq_1.41.0.tgz(r-4.6-any)globalSeq_1.41.0.tgz(r-4.5-any)
globalSeq_1.41.0.tar.gz(r-4.7-any)globalSeq_1.41.0.tar.gz(r-4.6-any)
globalSeq_1.41.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
globalSeq/json (API)

# Install 'globalSeq' in R:

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

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

On BioConductor:globalSeq-1.41.0(bioc 3.24)globalSeq-1.40.0(bioc 3.23)

geneexpression exonarray differentialexpression genomewideassociation transcriptomics dimensionreduction regression sequencing wholegenome rnaseq exomeseq mirna multiplecomparison

5.32 score 1 stars 4 scripts 355 downloads 15 exports 0 dependencies

Last updated from:1e1f5dc10f. Checks:1 WARNING, 9 OK. Indexed: yes.

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