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 |
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Author | Elisabetta Sciacca [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-7525-1558>), Myles Lewis [ctb] (ORCID: <https://orcid.org/0000-0001-9365-5345>) |
Maintainer | Elisabetta Sciacca <e.sciacca@qmul.ac.uk> |
License | GPL-3 |
Version | 1.0.0 |
URL | https://github.com/elisabettasciacca/multiDEGGs/ |
Package repository | View on CRAN |
Installation |
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