{ "_id": "6a101a7aacfb0bcc41c868d1", "Package": "markeR", "Title": "An R Toolkit for Evaluating Gene Signatures as Phenotypic\nMarkers", "Version": "1.3.0", "Authors@R": "c(\nperson(\"Rita\", \"Martins-Silva\",\nemail = \"rita.silva@medicina.ulisboa.pt\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-1067-7993\")),\nperson(\"Alexandre\", \"Kaizeler\",\nrole = c(\"aut\", \"ctb\"),\ncomment = c(ORCID = \"0000-0002-9117-6073\")),\nperson(c(\"Nuno\", \"Luís\"), \"Barbosa-Morais\", role=c(\"aut\", \"led\", \"ths\"),\ncomment=c(ORCID=\"0000-0002-1215-0538\"))\n)", "Description": "markeR is an R package that provides a modular and\nextensible framework for the systematic evaluation of gene sets\nas phenotypic markers using transcriptomic data. The package is\ndesigned to support both quantitative analyses and visual\nexploration of gene set behaviour across experimental and\nclinical phenotypes. It implements multiple methods, including\nscore-based and enrichment approaches, and also allows the\nexploration of expression behaviour of individual genes. 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