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>

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