{ "_id": "6ac8b867de46216d5edd6171", "Package": "ICBioMark", "Title": "Data-Driven Design of Targeted Gene Panels for Estimating\nImmunotherapy Biomarkers", "Version": "0.1.5", "Authors@R": "c(person(given = \"Jacob R.\",\nfamily = \"Bradley\",\nrole = c(\"aut\", \"cre\"),\nemail = \"cobrbradley@gmail.com\",\ncomment = c(ORCID = \"0000-0003-1616-4969\")),\nperson(given = \"Timothy I.\",\nfamily = \"Cannings\",\nrole = c(\"aut\"),\nemail = \"Timothy.cannings@sms.ed.ac.uk\",\ncomment = c(ORCID = \"0000-0002-2111-4168\")))", "Description": "Implementation of the methodology proposed in 'Data-driven\ndesign of targeted gene panels for estimating immunotherapy\nbiomarkers', Bradley and Cannings (2021) .\nThis package allows the user to fit generative models of\nmutation from an annotated mutation dataset, and then further\nto produce tunable linear estimators of exome-wide biomarkers.\nIt also contains functions to simulate mutation annotated\nformat (MAF) data, as well as to analyse the output and\nperformance of models.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.1.1", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://cobrbra.r-universe.dev", "Date/Publication": "2023-04-24 16:36:19 UTC", "RemoteUrl": "https://github.com/cobrbra/icbiomark", "RemoteRef": "HEAD", "RemoteSha": "e5040a98925cb52a2169575ed6ecef718ba86523", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-09 09:26:07 UTC", "User": "root" }, "Author": "Jacob R. 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