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  "Title": "Combines WGCNA and xCell readouts with bayesian network\nlearrning to generate a Gene-Module Immune-Cell network (GMIC)",
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  "Author": "Richard Virgen-Slane",
  "Maintainer": "Richard Virgen-Slane <RVS.BioTools@gmail.com>",
  "Description": "This package uses bayesian network learning to detect\nrelationships between Gene Modules detected by WGCNA and immune\ncell signatures defined by xCell. It is a hypothesis generating\ntool.",
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    "description": "Software for the analysis and comprehension of high-throughput genomic data"
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      "title": "Carries out WGCNA with default settings or custom settings",
      "topics": [
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      ]
    },
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      "title": "Generates a subgraph from query nodes",
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      "topics": [
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      ]
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      "topics": [
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      ]
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      "topics": [
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      ]
    },
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      ]
    }
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      "filename": "GmicR_vignette.html",
      "title": "GmicR_vignette",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Abstract",
        "Installation of Bioconductor packages",
        "Step 1 for GMIC building: Accessing Expression data",
        "Downloading expression data",
        "NOTE: GmicR requires official gene symbols",
        "QC of expression data",
        "Exporting expression data for xCell signature analysis",
        "The xCell results will be emailed to you.",
        "Step 2 for GMIC building: gene module detection and annotation",
        "WGCNA module detection",
        "Module annotation",
        "Step 3: Preparing module eigengenes and cell signatures for BN learning",
        "Specify the \"xCell results\" file directory",
        "Discretization",
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