To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

globalSeq

 

   

This is the development version of globalSeq; for the stable release version, see globalSeq.

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

Bioconductor version: Development (3.4)

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

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
PDF   Reference Manual

Details

biocViews DifferentialExpression, GeneExpression, GenomeWideAssociation, RNASeq, Software, StatisticalMethod
Version 1.1.2
In Bioconductor since BioC 3.3 (R-3.3) (< 6 months)
License GPL-3
Depends R (>= 3.3.0)
Imports
LinkingTo
Suggests knitr, testthat, SummarizedExperiment
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source globalSeq_1.1.2.tar.gz
Windows Binary globalSeq_1.1.2.zip
Mac OS X 10.9 (Mavericks) globalSeq_1.1.2.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/globalSeq
Package Short Url http://bioconductor.org/packages/globalSeq/
Package Downloads Report Download Stats

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