multiDEGGs: Multi-Omic Differentially Expressed Gene-Gene Pairs

Performs multi-omic differential network analysis by revealing differential interactions between molecular entities (genes, proteins, transcription factors, or other biomolecules) across the omic datasets provided. For each omic dataset, a differential network is constructed where links represent statistically significant differential interactions between entities. These networks are then integrated into a comprehensive visualization using distinct colors to distinguish interactions from different omic layers. This unified display allows interactive exploration of cross-omic patterns, such as differential interactions present at both transcript and protein levels. For each link, users can access differential statistical significance metrics (p values or adjusted p values, calculated via robust or traditional linear regression with interaction term) and differential regression plots. The methods implemented in this package are described in Sciacca et al. (2023) <doi:10.1093/bioinformatics/btad192>.

Package details

AuthorElisabetta Sciacca [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-7525-1558>), Myles Lewis [ctb] (ORCID: <https://orcid.org/0000-0001-9365-5345>)
MaintainerElisabetta Sciacca <e.sciacca@qmul.ac.uk>
LicenseGPL-3
Version1.0.0
URL https://github.com/elisabettasciacca/multiDEGGs/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("multiDEGGs")

Try the multiDEGGs package in your browser

Any scripts or data that you put into this service are public.

multiDEGGs documentation built on June 8, 2025, 1:19 p.m.