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# csdR This R-package implements the CSD algorithm presented by [Voigt et al. 2017]( in an efficient manner. * Requrirements: Requirements: R (version 4.1.0 or higher) with packages `WGCNA`, `optparse`, `glue`, `magrittr` and `Rcpp` (and of course a C++ compiler) installed. Additionally, having an optimized Blas library such as openBlas is highly recommended for performance reasons (see [this link]( for more info). ## Installation In order to install the release version from Bioconductor, do type in the R terminal: ``` if(!requireNamespace("BiocManager")){ install.packages("BiocManager") } BiocManager::install("phyloseq") ``` If you want to install the development version instead: ``` # install.packages("devtools") devtools::install_github("AlmaasLab/csdR", ref = "main") ``` ## Usage Please see the [package vignette]( Additionally check out the article on `csdR`: Pettersen, J.P., Almaas, E. csdR, an R package for differential co-expression analysis. BMC Bioinformatics 23, 79 (2022). ## Issues and feedback Please use the repository's [issue tracker]( if you cannot make the package work or if you have suggestions for improvements.