CorNetto
Bioc removedKnowledge-Guided Multi-Omic Correlation Network Analysis
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Description
Builds knowledge-guided multi-omic correlation networks from normalized transcriptomic, proteomic, and metabolomic abundance data. Group-specific correlation networks are compared with the Fisher z-difference test, either across all within-omic pairs in one or every assay without generating cross-omic pairs, or across candidate edges supplied by a prior-knowledge network, and the resulting differential network is summarized into node-level rewiring scores that identify features whose interaction patterns change between groups. Rewiring scores can be compared with group-label permutation reference distributions, and networks can be restricted to pathway-focused neighbourhoods, converted to 'igraph' objects, or exported as Cytoscape-ready node and edge tables. The package is built on Bioconductor containers so that multi-omic assays and sample metadata are managed consistently throughout the workflow.
None published for Bioconductor
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People
- Bradley Ward author maintainer
- Sofina COVID Solidarity Fund funder
- Jean-Luc Balligand contributor
- Laurence Bamps contributor
- Leïla Belkhir thesis advisor funder
- Patrice D. Cani contributor
- Julien De Greef contributor
- Joseph P. Dewulf contributor
- Laure Elens thesis advisor funder
- Vincent Haufroid contributor
- Benoît Kabamba contributor
- Sébastien Pyr dit Ruys contributor
- Didier Vertommen contributor
- Jean Cyr Yombi contributor
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