Bioconductor version: Release (3.16)
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.
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger at uni.lu>
Citation (from within R,
enter citation("globalSeq")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("globalSeq")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("globalSeq")
HTML | article frame | |
HTML | vignette frame | |
R Script | vignette source | |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, DimensionReduction, ExomeSeq, ExonArray, GeneExpression, GenomeWideAssociation, MultipleComparison, RNASeq, Regression, Sequencing, Software, Transcriptomics, WholeGenome, miRNA |
Version | 1.26.0 |
In Bioconductor since | BioC 3.3 (R-3.3) (7 years) |
License | GPL-3 |
Depends | R (>= 3.0.0) |
Imports | |
LinkingTo | |
Suggests | knitr, testthat, SummarizedExperiment, S4Vectors |
SystemRequirements | |
Enhances | |
URL | https://github.com/rauschenberger/globalSeq |
BugReports | https://github.com/rauschenberger/globalSeq/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | globalSeq_1.26.0.tar.gz |
Windows Binary | globalSeq_1.26.0.zip (64-bit only) |
macOS Binary (x86_64) | globalSeq_1.26.0.tgz |
macOS Binary (arm64) | globalSeq_1.26.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/globalSeq |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/globalSeq |
Bioc Package Browser | https://code.bioconductor.org/browse/globalSeq/ |
Package Short Url | https://bioconductor.org/packages/globalSeq/ |
Package Downloads Report | Download Stats |
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