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. https://doi.org/10.1186/s12859-022-04605-1.

Corresponding BibTeX entry:

  @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},
  }