{ "_id": "6a195115acfb0bcc41ddfa05", "Package": "padma", "Type": "Package", "Title": "Individualized Multi-Omic Pathway Deviation Scores Using\nMultiple Factor Analysis", "Version": "1.22.0", "Authors@R": "c(\nperson(given=\"Andrea\",\nfamily=\"Rau\",\nemail=\"andrea.rau@inrae.fr\",\nrole=c(\"cre\", \"aut\"),\ncomment = c(ORCID = \"0000-0001-6469-488X\")),\nperson(given=\"Regina\",\nfamily=\"Manansala\",\nemail=\"manansa2@uwm.edu\",\nrole=\"aut\"),\nperson(given=\"Florence\",\nfamily=\"Jaffrézic\",\nemail=\"florence.jaffrezic@inrae.fr\",\nrole=\"ctb\"),\nperson(given=\"Denis\",\nfamily=\"Laloë\",\nemail=\"denis.laloe@inrae.fr\",\nrole=\"aut\"),\nperson(given=\"Paul\",\nfamily=\"Auer\",\nemail=\"pauer@uwm.edu\",\nrole=\"aut\"))", "Description": "Use multiple factor analysis to calculate individualized\npathway-centric scores of deviation with respect to the sampled\npopulation based on multi-omic assays (e.g., RNA-seq, copy\nnumber alterations, methylation, etc). Graphical and numerical\noutputs are provided to identify highly aberrant individuals\nfor a particular pathway of interest, as well as the gene and\nomics drivers of aberrant multi-omic profiles.", "License": "GPL (>=3)", "URL": "https://github.com/andreamrau/padma", "https": "//github.com/andreamrau/padma/issues", "biocViews": "Software, StatisticalMethod, PrincipalComponent,\nGeneExpression, Pathways, RNASeq, BioCarta, MethylSeq", "Encoding": "UTF-8", "LazyData": "TRUE", "RoxygenNote": "7.3.1", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev zlib1g-dev", "Repository": "https://bioc-release.r-universe.dev", "Date/Publication": "2026-04-28 12:53:06 UTC", "RemoteUrl": "https://github.com/bioc/padma", "RemoteRef": "RELEASE_3_23", "RemoteSha": "080ac3bdf2dbc2b4b543c7209eb6f68dca500643", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-29 07:30:22 UTC", "User": "root" }, "Author": "Andrea Rau [cre, aut] (ORCID: ),\nRegina Manansala 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