diffcoexp
Differential Co-expression Analysis
Bioconductor version: 3.24 · Package version: 1.33.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
A tool for the identification of differentially coexpressed links (DCLs) and differentially coexpressed genes (DCGs). DCLs are gene pairs with significantly different correlation coefficients under two conditions. DCGs are genes with significantly more DCLs than by chance.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("diffcoexp")Details
| Maintainer | Wenbin Wei <wenbin.wei2@durham.ac.uk> |
| Author | Wenbin Wei, Sandeep Amberkar, Winston Hide |
| License | GPL (>2) |
| URL | https://github.com/hidelab/diffcoexp |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | Coverage, DifferentialExpression, GeneExpression, ImmunoOncology, Microarray, OneChannel, RNASeq, Sequencing, Software, Transcription, TwoChannel |
| Package Short Url | https://bioconductor.org/packages/diffcoexp/ |
Citation
From within R, enter citation("diffcoexp"):
Wenbin Wei, Sandeep Amberkar, Winston Hide. diffcoexp: Differential Co-expression Analysis. doi:10.18129/B9.bioc.diffcoexp, R package version 1.33.0, https://bioconductor.org/packages/diffcoexp.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | diffcoexp_1.33.0.tar.gz |
| Windows binary (x86_64) | diffcoexp_1.33.0.zip |
| macOS binary (arm64) | diffcoexp_1.33.0.tgz |
| macOS binary (x86_64) | diffcoexp_1.33.0.tgz |
Dependencies
Depends: R (>= 3.5), WGCNA, SummarizedExperiment
Imports: stats, DiffCorr, psych, igraph, BiocGenerics
Reverse dependencies
Imports Me (1): ExpHunterSuite