https://elisabettasciacca.r-universe.devRecent package updates in elisabettasciaccaR-universehttps://github.com/elisabettasciacca.pnghttps://elisabettasciacca.r-universe.devTue, 16 Jun 2026 12:07:41 GMTe.sciacca@qmul.ac.uk (Elisabetta Sciacca)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>.https://github.com/r-universe/elisabettasciacca/actions/runs/27618464168Tue, 16 Jun 2026 12:07:41 GMTmultiDEGGs1.2.1.9000successhttps://elisabettasciacca.r-universe.devhttps://github.com/elisabettasciacca/multideggsDifferential_Network_Analysis.RmdDifferential_Network_Analysis.htmlDifferential Network Analysis with multiDEGGs2026-03-23 15:27:572026-03-24 09:19:59Feature_Selection.RmdFeature_Selection.htmlFeature Selection and Feature Engineering with multiDEGGs2026-02-02 14:21:222026-04-01 10:36:50multiDEGGs_vignette.RmdmultiDEGGs_vignette.htmlDifferential Network Analysis with multiDEGGs2025-05-13 13:13:402026-06-16 12:07:41