{ "_id": "6a1a74d61d7bb097a09d1a2a", "Package": "iPath", "Type": "Package", "Title": "iPath pipeline for detecting perturbed pathways at individual\nlevel", "Version": "1.19.0", "Authors@R": "c(person(\"Kenong\",\"Su\", email =\"kenong.su@emory.edu\", role = c(\"aut\",\"cre\")),\nperson(\"Zhaohui\",\"Qin\", email =\"zhaohui.qin@emory.edu\", role =\"aut\"))", "Description": "iPath is the Bioconductor package used for calculating\npersonalized pathway score and test the association with\nsurvival outcomes. Abundant single-gene biomarkers have been\nidentified and used in the clinics. However, hundreds of\noncogenes or tumor-suppressor genes are involved during the\nprocess of tumorigenesis. We believe individual-level\nexpression patterns of pre-defined pathways or gene sets are\nbetter biomarkers than single genes. In this study, we devised\na computational method named iPath to identify prognostic\nbiomarker pathways, one sample at a time. To test its utility,\nwe conducted a pan-cancer analysis across 14 cancer types from\nThe Cancer Genome Atlas and demonstrated that iPath is capable\nof identifying highly predictive biomarkers for clinical\noutcomes, including overall survival, tumor subtypes, and tumor\nstage classifications. We found that pathway-based biomarkers\nare more robust and effective than single genes.", "License": "GPL-2", "Encoding": "UTF-8", "VignetteBuilder": "knitr", "biocViews": "Pathways, Software, GeneExpression, Survival", "NeedsCompilation": "yes", "SystemRequirements": "C++11", "RoxygenNote": "7.1.1", "BugReports": "https://github.com/suke18/iPath/issues", "Config/pak/sysreqs": "cmake make libicu-dev libjpeg-dev libpng-dev\nlibxml2-dev libssl-dev", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-04-28 12:56:34 UTC", "RemoteUrl": "https://github.com/bioc/iPath", "RemoteRef": "HEAD", "RemoteSha": "a1baeabb37f526ef5c0f4f55d2f146a88c789dcd", "Packaged": { "Date": "2026-05-28 14:55:10 UTC", "User": "root" }, "Author": "Kenong Su [aut, cre],\nZhaohui Qin [aut]", "Maintainer": "Kenong Su ", "MD5sum": "63e82a856816b74907ab551ea2785e36", "_user": "bioc", "_type": "src", "_file": "iPath_1.19.0.tar.gz", "_fileid": 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