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  "Title": "Entropy Based Method for the Detection of Significant Variation\nin Gene Expression Data",
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  "Date": "2026-09-28",
  "Authors@R": "c(\nperson(\"Federico\", \"Zambelli\", email = \"federico.zambelli@unimi.it\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-3487-4331\")),\nperson(\"Giulio\", \"Pavesi\", email = \"giulio.pavesi@unimi.it\", role = \"aut\",\ncomment = c(ORCID = \"0000-0001-5705-6249\")))",
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  "Description": "An implementation of a method based on information theory\ndevised for the identification of genes showing a significant\nvariation of expression across multiple conditions. Given\nexpression estimates from any number of RNA-Seq samples and\nconditions it identifies genes or transcripts with a\nsignificant variation of expression across all the conditions\nstudied, together with the samples in which they are over- or\nunder-expressed. It also detects genes whose relative isoform\nusage changes across samples (isoform switching). Zambelli et\nal. (2018) <doi:10.1093/nar/gky055>.",
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  "Author": "Federico Zambelli [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-3487-4331>), Giulio Pavesi [aut]\n(ORCID: <https://orcid.org/0000-0001-5705-6249>)",
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