inst/CITATION
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.
@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},
}