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.
Bioconductor version: Release (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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("globalSeq")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("globalSeq")
R Script | globalSeq | |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, DimensionReduction, ExomeSeq, ExonArray, GeneExpression, GenomeWideAssociation, MultipleComparison, RNASeq, Regression, Sequencing, Software, Transcriptomics, WholeGenome, miRNA |
Version | 1.2.0 |
In Bioconductor since | BioC 3.3 (R-3.3) (1 year) |
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 |
Follow Installation instructions to use this package in your R session.
Package Source | globalSeq_1.2.0.tar.gz |
Windows Binary | globalSeq_1.2.0.zip |
Mac OS X 10.9 (Mavericks) | globalSeq_1.2.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/globalSeq/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/globalSeq/ |
Package Downloads Report | Download Stats |
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