Changes in version 0.99.0                        

  - Submitted to Bioconductor.

  - 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.