To cite csdR in publications use: Pettersen JP, Almaas E (2022). “csdR, an R package for differential co-expression analysis.” _BMC Bioinformatics_, *23*(1), 79. ISSN 1471-2105, doi:10.1186/s12859-022-04605-1 , . A BibTeX entry for LaTeX users is @Article{Pettersen2022, author = {Jakob P Pettersen and Eivind Almaas}, title = {csdR, an R package for differential co-expression analysis}, journal = {BMC Bioinformatics}, year = {2022}, month = {Feb}, day = {19}, volume = {23}, number = {1}, pages = {79}, abstract = {Differential co-expression network analysis has become an important tool to gain understanding of biological phenotypes and diseases. The CSD algorithm is a method to generate differential co-expression networks by comparing gene co-expressions from two different conditions. Each of the gene pairs is assigned conserved (C), specific (S) and differentiated (D) scores based on the co-expression of the gene pair between the two conditions. The result of the procedure is a network where the nodes are genes and the links are the gene pairs with the highest C-, S-, and D-scores. However, the existing CSD-implementations suffer from poor computational performance, difficult user procedures and lack of documentation.}, issn = {1471-2105}, doi = {10.1186/s12859-022-04605-1}, url = {https://doi.org/10.1186/s12859-022-04605-1}, }