{ "_id": "6a1fdde5b401979e734387d2", "Package": "QRscore", "Title": "Quantile Rank Score", "Version": "1.5.0", "Date": "2025-03-28", "Authors@R": "c(\nperson(\"Fanding\", \"Zhou\", email = \"zhoufd@berkeley.edu\", role = c(\"cre\",\"aut\"),\ncomment = c(ORCID = \"0000-0003-1306-740X\")),\nperson(\"Alan\", \"Aw\", email = \"nalawanij@gmail.com\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0001-9455-7878\")),\nperson(\"Dan\", \"Erdmann-Pham\", email = \"erdpham@stanford.edu\", role = \"aut\"),\nperson(\"Jonathan\", \"Fischer\", email = \"jfischer1@ufl.edu\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-1165-9930\")),\nperson(\"Xurui\", \"Chen\", email = \"xuruichen@berkeley.edu\", role = \"ctb\")\n)", "Description": "In genomics, differential analysis enables the discovery\nof groups of genes implicating important biological processes\nsuch as cell differentiation and aging. Non-parametric tests of\ndifferential gene expression usually detect shifts in\ncentrality (such as mean or median), and therefore suffer from\ndiminished power against alternative hypotheses characterized\nby shifts in spread (such as variance). This package provides a\nflexible family of non-parametric two-sample tests and K-sample\ntests, which is based on theoretical work around non-parametric\ntests, spacing statistics and local asymptotic normality\n(Erdmann-Pham et al., 2022+ [arXiv:2008.06664v2]; Erdmann-Pham,\n2023+ [arXiv:2209.14235v2]).", "License": "GPL (>= 3)", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-03 07:48:38 UTC", "User": "root" }, "VignetteBuilder": "BiocStyle", "URL": "https://github.com/songlab-cal/QRscore", "BugReports": "https://github.com/songlab-cal/QRscore/issues", "biocViews": "StatisticalMethod, DifferentialExpression, GeneExpression,\nStructuralGenomics, GeneTarget", "Config/pak/sysreqs": "libgmp3-dev", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-04-28 13:05:01 UTC", "RemoteUrl": "https://github.com/bioc/QRscore", "RemoteRef": "HEAD", "RemoteSha": 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