rauschenberger/globalSeq: Global Test for Counts

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.

Getting started

Package details

Bioconductor views DifferentialExpression DimensionReduction ExomeSeq ExonArray GeneExpression GenomeWideAssociation MultipleComparison RNASeq Regression Sequencing Transcriptomics WholeGenome miRNA
Maintainer
LicenseGPL-3
Version1.11.2
URL https://github.com/rauschenberger/globalSeq
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("rauschenberger/globalSeq")
rauschenberger/globalSeq documentation built on Jan. 30, 2019, 7:14 a.m.