{
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  "Title": "Q-value estimation for false discovery rate control",
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  "Date": "2015-03-24",
  "Authors@R": "c(\nperson(given = \"John D.\", family = \"Storey\",\nemail = \"jdstorey@princeton.edu\", role = c(\"aut\", \"cre\")),\nperson(given = \"Andrew J.\", family = \"Bass\",\nemail = \"ajbass@emory.edu\", role = \"aut\"),\nperson(given = \"Alan\", family = \"Dabney\", role = \"aut\"),\nperson(given = \"David\", family = \"Robinson\", role = \"aut\"),\nperson(given = \"Gregory\", family = \"Warnes\", role = \"ctb\"))",
  "Maintainer": "John D. Storey <jstorey@princeton.edu>, Andrew J. Bass\n<ajbass@emory.edu>",
  "biocViews": "MultipleComparisons",
  "Description": "This package takes a list of p-values resulting from the\nsimultaneous testing of many hypotheses and estimates their\nq-values and local FDR values. The q-value of a test measures\nthe proportion of false positives incurred (called the false\ndiscovery rate) when that particular test is called\nsignificant. The local FDR measures the posterior probability\nthe null hypothesis is true given the test's p-value. Various\nplots are automatically generated, allowing one to make\nsensible significance cut-offs. Several mathematical results\nhave recently been shown on the conservative accuracy of the\nestimated q-values from this software. The software can be\napplied to problems in genomics, brain imaging, astrophysics,\nand data mining.",
  "VignetteBuilder": "knitr",
  "URL": "http://github.com/jdstorey/qvalue",
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  "Repository": "https://bioc-release.r-universe.dev",
  "Date/Publication": "2026-04-28 12:30:26 UTC",
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