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It trains drug-response\nmodels on large-scale cell-line screens, predicts sensitivity\nat clone and patient level, and ships an interactive\nvisualization suite plus a Shiny web application.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "8.0.0", "VignetteBuilder": "knitr", "URL": "https://wanglabcsu.github.io/PERCEPTIONx,\nhttps://github.com/WangLabCSU/PERCEPTIONx", "BugReports": "https://github.com/WangLabCSU/PERCEPTIONx/issues", "Config/testthat/edition": "3", "Config/pak/sysreqs": "libcairo2-dev cmake libfontconfig1-dev\nlibfreetype6-dev libglpk-dev make libicu-dev libpng-dev\nlibuv1-dev libxml2-dev libssl-dev python3 zlib1g-dev", "Repository": "https://wanglabcsu.r-universe.dev", "Date/Publication": "2026-09-19 09:52:18 UTC", "RemoteUrl": "https://github.com/WangLabCSU/PERCEPTIONx", "RemoteRef": "HEAD", "RemoteSha": "15fbc84a04c95a1306a938ada96c02e16de98d54", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-19 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