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  "Title": "Signature-based Clustering for Diagnostic Purposes",
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  "Authors@R": "c(person(\"Matteo\", \"Ciciani\", email = \"matteo.ciciani@gmail.com\",\nrole = c(\"aut\", \"cre\")), person(\"Thomas\", \"Cantore\",\nemail = \"cantorethomas@gmail.com\", role = \"aut\"), person(\"Enrica\",\n\"Colasurdo\", email = \"enrica.colasurdo@gmail.com\", role = \"ctb\"), person(\n\"Mario\", \"Lauria\", email = \"mario.lauria@unitn.it\", role = c(\"ctb\")))",
  "Description": "SCUDO (Signature-based Clustering for Diagnostic Purposes)\nis a rank-based method for the analysis of gene expression\nprofiles for diagnostic and classification purposes. It is\nbased on the identification of sample-specific gene signatures\ncomposed of the most up- and down-regulated genes for that\nsample. Starting from gene expression data, functions in this\npackage identify sample-specific gene signatures and use them\nto build a graph of samples. In this graph samples are joined\nby edges if they have a similar expression profile, according\nto a pre-computed similarity matrix. The similarity between the\nexpression profiles of two samples is computed using a method\nsimilar to GSEA. The graph of samples can then be used to\nperform community clustering or to perform supervised\nclassification of samples in a testing set.",
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