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  "Title": "Correlation Guided Network Integration (CoNI)",
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  "Authors@R": "c(person(given = \"José Manuel\", \nfamily = \"Monroy Kuhn\",\nemail = \"nolozz@gmail.com\",\nrole = c(\"aut\", \"cre\")),\nperson(given = \"Dominik\",\nfamily = \"Lutter\",\nemail = \"dominik.lutter@helmholtz-muenchen.de\",\nrole = c(\"ths\")),\nperson(given = \"Valentina\",\nfamily = \"Klaus\",\nrole = c(\"ctb\")))",
  "Description": "Integrates two numerical omics data sets from the same\nsamples using partial correlations. The output can be\nrepresented as a network, bipartite graph or a hypergraph\nstructure. The method used in the package refers to Klaus et al\n(2021) <doi:10.1016/j.molmet.2021.101295>.",
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  "Repository": "https://jmanuelmk.r-universe.dev",
  "Date/Publication": "2022-03-29 08:50:50 UTC",
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      "topics": [
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      "source": "Full_RunCoNI.Rmd",
      "filename": "Full_RunCoNI.html",
      "title": "CoNI",
      "author": "José Manuel Monroy Kuhn",
      "engine": "knitr::rmarkdown",
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        "Basic network statistics",
        "Clustering options in igraph",
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