doi:10.1093/bioinformatics/btad192>.">

multiDEGGs: Multi-Omic Differentially Expressed Gene-Gene Pairs (original) (raw)

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>.

Version: 1.0.0
Depends: R (≥ 4.4.0)
Imports: DT, grDevices, graphics, knitr, MASS, magrittr, methods, parallel, pbapply, pbmcapply, rmarkdown, sfsmisc, shiny, shinydashboard, stats, utils, visNetwork
Suggests: qvalue, testthat (≥ 3.0.0)
Published: 2025-06-05
DOI: 10.32614/CRAN.package.multiDEGGs
Author: Elisabetta SciaccaORCID iD [aut, cre, cph], Myles Lewis ORCID iD [ctb]
Maintainer: Elisabetta Sciacca <e.sciacca at qmul.ac.uk>
BugReports: https://github.com/elisabettasciacca/multiDEGGs/issues
License: GPL-3
URL: https://github.com/elisabettasciacca/multiDEGGs/
NeedsCompilation: no
Language: en-gb
Citation: multiDEGGs citation info
Materials: README NEWS
CRAN checks: multiDEGGs results

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