Bioconductor version: Release (3.15)
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]
Maintainer: Jakob Peder Pettersen <jakobpeder.pettersen at gmail.com>
Citation (from within R,
enter citation("csdR")
):
To install this package, start R (version "4.2") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("csdR")
HTML | R Script | csdR |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, GeneExpression, GraphAndNetwork, Network, Software |
Version | 1.2.0 |
In Bioconductor since | BioC 3.14 (R-4.1) (1 year) |
License | GPL-3 |
Depends | R (>= 4.1.0) |
Imports | WGCNA, glue, RhpcBLASctl, matrixStats, Rcpp |
LinkingTo | Rcpp |
Suggests | rmarkdown, knitr, testthat (>= 3.0.0), BiocStyle, magrittr, igraph, dplyr |
SystemRequirements | |
Enhances | |
URL | https://almaaslab.github.io/csdR https://github.com/AlmaasLab/csdR |
BugReports | https://github.com/AlmaasLab/csdR/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | csdR_1.2.0.tar.gz |
Windows Binary | csdR_1.2.0.zip (64-bit only) |
macOS Binary (x86_64) | csdR_1.2.0.tgz |
Source Repository | git 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/ |
Package Downloads Report | Download Stats |
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