First release. CorNetto builds knowledge-guided multi-omic correlation
networks from normalized abundance data held in a MultiAssayExperiment,
and provides:
- group-specific correlation networks, and pre-analysis summaries of
sample counts, missingness and feature counts;
- two-group differential correlation by the Fisher z-difference test,
either over all within-omic pairs or over candidate edges supplied by a
prior-knowledge network;
- node-level rewiring scores, with permutation reference distributions
that report whether the result is a randomization p-value or a
conditional ranking;
- pathway-focused subnetworks,
igraph conversion, and Cytoscape-ready
node and edge export.