Bioinformatics. 2023 Apr 21:btad192. doi: 10.1093/bioinformatics/btad192. Online ahead of print.
ABSTRACT
SUMMARY: The discovery of differential gene-gene correlations across phenotypical groups can help identify the activation/deactivation of critical biological processes underlying specific conditions. The presented R package, provided with a count and design matrix, extract networks of group-specific interactions that can be interactively explored through a shiny user-friendly interface. For each gene-gene link, differential statistical significance is provided through robust linear regression with an interaction term.
AVAILABILITY: DEGGs is implemented in R and available on GitHub at https://github.com/elisabettasciacca/DEGGs. The package is also under submission on Bioconductor.
PMID:37084249 | DOI:10.1093/bioinformatics/btad192
