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  "Title": "Feature Dominance-based R Package for Genomic Data",
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  "Date": "2025-09-10",
  "Authors@R": "c(\nperson(\ngiven = \"Simon\",\nfamily = \"Lizarazo\",\nrole = c(\"aut\", \"cre\"),\nemail = \"silizarazoch@gmail.com\",\ncomment = c(ORCID = \"0009-0001-8974-6225\")\n),\nperson(\ngiven = \"Ethan\",\nfamily = \"Chen\",\nrole = c(\"aut\"),\nemail = \"yitian7@illinois.edu\"\n),\nperson(\ngiven = \"Rajendra\",\nfamily = \"K C\",\nrole = c(\"aut\")\n),\nperson(\ngiven = \"Kevin\",\nfamily = \"Van Bortle\",\nrole = c(\"aut\", \"cph\"),\nemail = \"kvbortle@illinois.edu\")\n)",
  "Description": "dominatR is an R package for quantifying and visualizing\nfeature dominance in datasets.  dominatR applies concepts drawn\nfrom physics such as center of mass and shannon's entropy to\neffectively visualize features (e.g. genes) that are present\nwithin a specific context or condition. The package integrates,\ndataframes, matrices and SummerizedExperiment objects and is\nable to perform common genomic normalization methods. The key\naspect is the generation of plots that serve to highlight\ncontext-relevant feature dominance.",
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