edge: Extraction of Differential Gene Expression

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 snm, sva, and qvalue are integrated in edge to provide a wide range of tools for gene expression analysis.

Package details

AuthorJohn D. Storey, Jeffrey T. Leek and Andrew J. Bass
Bioconductor views DataImport DifferentialExpression GeneExpression MultipleComparison Regression TimeCourse
MaintainerJohn D. Storey <jstorey@princeton.edu>, Andrew J. Bass <ajbass@princeton.edu>
LicenseMIT + file LICENSE
URL https://github.com/jdstorey/edge
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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edge documentation built on Nov. 8, 2020, 6:48 p.m.