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csdR

This is the released version of csdR; for the devel version, see csdR.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14

Differential gene co-expression


Bioconductor version: Release (3.23)

This package contains functionality to run differential gene co-expression across two different conditions. The algorithm is inspired by Voigt et al. 2017 and finds Conserved, Specific and Differentiated genes (hence the name CSD). This package include efficient and variance calculation by bootstrapping and Welford's algorithm.

Author: Jakob Peder Pettersen [aut, cre] ORCID iD ORCID: 0000-0002-3485-1634

Maintainer: Jakob Peder Pettersen <jakobpeder.pettersen at gmail.com>

Citation (from within R, enter citation("csdR")):

Jakob Peder Pettersen. csdR: Differential gene co-expression. doi:10.18129/B9.bioc.csdR, R package version 1.18.0, https://bioconductor.org/packages/csdR.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("csdR")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("csdR")
csdR HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews DifferentialExpression, GeneExpression, GraphAndNetwork, Network, Software
Version1.18.0
In Bioconductor sinceBioC 3.14 (R-4.1) (5 years)
License GPL-3
Depends R (>= 4.1.0)
Imports WGCNA, glue, RhpcBLASctl, matrixStats, Rcpp
System Requirements
URLhttps://almaaslab.github.io/csdR https://github.com/AlmaasLab/csdR
Bug Reportshttps://github.com/AlmaasLab/csdR/issues
See More
Suggests rmarkdown, knitr, testthat (>= 3.0.0), BiocStyle, magrittr, igraph, dplyr
Linking To Rcpp
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package csdR_1.18.0.tar.gz
Windows Binary (x86_64) csdR_1.17.0.zip (64-bit only)
macOS Binary (big-sur-x86_64) csdR_1.18.0.tgz
macOS Binary (sonoma-arm64) csdR_1.18.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/csdR
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/csdR
Package Short Url https://bioconductor.org/packages/csdR/
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