This is the development version of edge; for the stable release version, see edge.
Extraction of Differential Gene ExpressionBioconductor version: Development (3.22)
The edge package implements methods for carrying out differential expression analyses of genome-wide gene expression studies. Significance testing using the optimal discovery procedure and generalized likelihood ratio tests (equivalent to F-tests and t-tests) are implemented for general study designs. Special functions are available to facilitate the analysis of common study designs, including time course experiments. Other packages such as sva and qvalue are integrated in edge to provide a wide range of tools for gene expression analysis.
Author: John D. Storey, Jeffrey T. Leek and Andrew J. Bass
Maintainer: John D. Storey <jstorey at princeton.edu>, Andrew J. Bass <ajbass at emory.edu>
Citation (from within R, entercitation("edge")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("edge")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("edge")Follow Installation instructions to use this package in your R session.
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