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  "Date": "2017-05-26",
  "Title": "Differential Coexpressed Networks",
  "Authors@R": "c(person(\"Elpidio-Emmanuel\", \"Gonzalez-Valbuena\", role = c(\"aut\")), \nperson(\"Victor\", \"Trevino\", role = c(\"aut\", \"cre\"),email = \"vtrevino@itesm.mx\"))",
  "Description": "Estimation of DIFferential COexpressed NETworks using\ndiverse and user metrics. This package is basically used for\nthree functions related to the estimation of differential\ncoexpression. First, to estimate differential coexpression\nwhere the coexpression is estimated, by default, by Spearman\ncorrelation. For this, a metric to compare two correlation\ndistributions is needed. The package includes 6 metrics. Some\nof them needs a threshold. A new metric can also be specified\nas a user function with specific parameters (see difconet.run).\nThe significance is be estimated by permutations. Second, to\ngenerate datasets with controlled differential correlation\ndata. This is done by either adding noise, or adding specific\ncorrelation structure. Third, to show the results of\ndifferential correlation analyses. Please see\n<http://bioinformatica.mty.itesm.mx/difconet> for further\ninformation.",
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  "URL": "http://bioinformatica.mty.itesm.mx/difconet",
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  "Packaged": {
    "Date": "2026-05-24 08:19:28 UTC",
    "User": "root"
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  "Author": "Elpidio-Emmanuel Gonzalez-Valbuena [aut], Victor Trevino [aut,\ncre]",
  "Maintainer": "Victor Trevino <vtrevino@itesm.mx>",
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  "Repository": "https://vtrevino.r-universe.dev",
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