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  "Description": "Builds knowledge-guided multi-omic correlation networks\nfrom normalized transcriptomic, proteomic, and metabolomic\nabundance data. Group-specific correlation networks are\ncompared with the Fisher z-difference test, either across all\nwithin-omic pairs in one or every assay without generating\ncross-omic pairs, or across candidate edges supplied by a\nprior-knowledge network, and the resulting differential network\nis summarized into node-level rewiring scores that identify\nfeatures whose interaction patterns change between groups.\nRewiring scores can be compared with group-label permutation\nreference distributions, and networks can be restricted to\npathway-focused neighbourhoods, converted to 'igraph' objects,\nor exported as Cytoscape-ready node and edge tables. The\npackage is built on Bioconductor containers so that multi-omic\nassays and sample metadata are managed consistently throughout\nthe workflow.",
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  "Date/Publication": "2026-08-25 08:48:58 UTC",
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  "Author": "Bradley Ward [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-0778-0153>),\nJean-Luc Balligand [ctb],\nLaurence Bamps [ctb],\nPatrice D. Cani [ctb],\nJulien De Greef [ctb],\nJoseph P. Dewulf [ctb],\nVincent Haufroid [ctb],\nBenoît Kabamba [ctb],\nSébastien Pyr dit Ruys [ctb],\nDidier Vertommen [ctb],\nJean Cyr Yombi [ctb],\nLeïla Belkhir [ths, fnd],\nLaure Elens [ths, fnd],\nSofina COVID Solidarity Fund [fnd]",
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    "knowledgeNetworks",
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    "plotRewiringScores",
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    "readKnowledgeNetwork",
    "rewiringResults",
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    "testDifferentialCorrelation",
    "validateAnalysisData",
    "validateKnowledgeNetwork",
    "validationResults",
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      "title": "Calculate Node Rewiring Scores",
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      "page": "combineKnowledgeNetworks",
      "title": "Combine Multiple Knowledge Networks",
      "topics": [
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    {
      "page": "combineNetworks",
      "title": "Combine Network Edge Tables",
      "topics": [
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      ]
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      "title": "Create a CorNetto Analysis Object",
      "topics": [
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      ]
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    {
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      "title": "Create a Group-Specific Correlation Network",
      "topics": [
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      ]
    },
    {
      "page": "createDifferentialCorrelationNetwork",
      "title": "Create a Weighted Differential Correlation Network",
      "topics": [
        "createDifferentialCorrelationNetwork"
      ]
    },
    {
      "page": "createFocusedNetwork",
      "title": "Create a Focused Network Around Seed Nodes",
      "topics": [
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      ]
    },
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      "title": "Create an igraph Object from a CorNetto Edge Table",
      "topics": [
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      "title": "Load the Synthetic Example Analysis Data",
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      "page": "exampleKnowledgeNetwork",
      "title": "Load the Synthetic Example Knowledge Network",
      "topics": [
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      ]
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    {
      "page": "exampleSeedNodes",
      "title": "Load the Synthetic Example Seed Nodes",
      "topics": [
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      "title": "Filter Features Before Network Construction",
      "topics": [
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      ]
    },
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      "page": "filterNetworkByNodes",
      "title": "Filter a Network by Node Membership",
      "topics": [
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      "title": "Filter Samples Before Network Construction",
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      "title": "Get Stored CorNetto Results",
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        "differentialCorrelationNetworks",
        "differentialCorrelationResults",
        "getCorNettoResult",
        "integratedNetworks",
        "knowledgeNetworks",
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        "validationResults"
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      "title": "Permute Rewiring Scores",
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      "title": "Plot Rewiring Scores",
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