globalSeq

DOI: 10.18129/B9.bioc.globalSeq    

Testing for association between RNA-Seq and high-dimensional data

Bioconductor version: Release (3.6)

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.

Author: Armin Rauschenberger [aut, cre]

Maintainer: Armin Rauschenberger <a.rauschenberger at vumc.nl>

Citation (from within R, enter citation("globalSeq")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("globalSeq")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("globalSeq")

 

PDF R Script globalSeq
HTML pkgdown
HTML pkgdown
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, DimensionReduction, ExomeSeq, ExonArray, GeneExpression, GenomeWideAssociation, MultipleComparison, RNASeq, Regression, Sequencing, Software, Transcriptomics, WholeGenome, miRNA
Version 1.6.0
In Bioconductor since BioC 3.3 (R-3.3) (2 years)
License GPL-3
Depends R (>= 3.0.0)
Imports
LinkingTo
Suggests knitr, testthat, SummarizedExperiment
SystemRequirements
Enhances
URL https://github.com/rauschenberger/globalSeq
BugReports https://github.com/rauschenberger/globalSeq/issues
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package globalSeq_1.6.0.tar.gz
Windows Binary globalSeq_1.6.0.zip
Mac OS X 10.11 (El Capitan) globalSeq_1.6.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/globalSeq
Package Short Url http://bioconductor.org/packages/globalSeq/
Package Downloads Report Download Stats

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