edge
Extraction of Differential Gene Expression
Bioconductor version: 3.24 · Package version: 2.45.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("edge")Details
| Maintainer | John D. Storey <jstorey@princeton.edu>, Andrew J. Bass <ajbass@emory.edu> |
| Author | John D. Storey, Jeffrey T. Leek and Andrew J. Bass |
| License | MIT + file LICENSE |
| URL | https://github.com/jdstorey/edge |
| Bug Reports | https://github.com/jdstorey/edge/issues |
| Downloads rank | 575 |
| Source branch | devel |
| biocViews | DataImport, DifferentialExpression, GeneExpression, MultipleComparison, Regression, Software, TimeCourse |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | edge_2.45.0.tar.gz |
| Windows binary (x86_64) | edge_2.45.0.zip |
| macOS binary (arm64) | edge_2.45.0.tgz |
| macOS binary (x86_64) | edge_2.45.0.tgz |