{ "_id": "6ae77906818c9e3ef6dbc37c", "Package": "SigCheck", "Type": "Package", "Title": "Check a gene signature's prognostic performance against random\nsignatures, known signatures, and permuted data/metadata", "Version": "2.45.0", "Author": "Rory Stark and Justin Norden", "Maintainer": "Rory Stark ", "Description": "While gene signatures are frequently used to predict\nphenotypes (e.g. predict prognosis of cancer patients), it it\nnot always clear how optimal or meaningful they are (cf David\nVenet, Jacques E. Dumont, and Vincent Detours' paper \"Most\nRandom Gene Expression Signatures Are Significantly Associated\nwith Breast Cancer Outcome\"). Based on suggestions in that\npaper, SigCheck accepts a data set (as an ExpressionSet) and a\ngene signature, and compares its performance on survival and/or\nclassification tasks against a) random gene signatures of the\nsame length; b) known, related and unrelated gene signatures;\nand c) permuted data and/or metadata.", "License": "Artistic-2.0", "LazyLoad": "yes", "biocViews": "GeneExpression, Classification, GeneSetEnrichment", "Config/pak/sysreqs": "cmake libglpk-dev make libpng-dev libuv1-dev\nlibxml2-dev libssl-dev zlib1g-dev", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-04-28 12:40:00 UTC", "RemoteUrl": "https://github.com/bioc/SigCheck", "RemoteRef": "HEAD", "RemoteSha": "0a235570236b75015684ac407024a05ab2686430", "NeedsCompilation": "no", "Packaged": { "Date": "2026-11-01 14:20:26 UTC", "User": "root" }, "_user": "bioc", "_type": "src", "_file": "SigCheck_2.45.0.tar.gz", "_fileid": 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