Related Experiment Video
Updated: Aug 2, 2025
Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
Published on: July 29, 2022
DEGGs: an R package with shiny app for the identification of differentially expressed gene-gene interactions in
Elisabetta Sciacca1,2, Salvatore Alaimo3, Gianmarco Silluzio4
1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, United Kingdom.
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 And Implementation:
DEGGs is implemented in R and available on GitHub at https://github.com/elisabettasciacca/DEGGs. The package is also under submission on Bioconductor.
