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  "Title": "Resampling-based multiple hypothesis testing",
  "Version": "2.69.0",
  "Author": "Katherine S. Pollard, Houston N. Gilbert, Yongchao Ge, Sandra\nTaylor, Sandrine Dudoit",
  "Description": "Non-parametric bootstrap and permutation resampling-based\nmultiple testing procedures (including empirical Bayes methods)\nfor controlling the family-wise error rate (FWER), generalized\nfamily-wise error rate (gFWER), tail probability of the\nproportion of false positives (TPPFP), and false discovery rate\n(FDR).  Several choices of bootstrap-based null distribution\nare implemented (centered, centered and scaled,\nquantile-transformed). Single-step and step-wise methods are\navailable. Tests based on a variety of t- and F-statistics\n(including t-statistics based on regression parameters from\nlinear and survival models as well as those based on\ncorrelation parameters) are included.  When probing hypotheses\nwith t-statistics, users may also select a potentially faster\nnull distribution which is multivariate normal with mean zero\nand variance covariance matrix derived from the vector\ninfluence function.  Results are reported in terms of adjusted\np-values, confidence regions and test statistic cutoffs. The\nprocedures are directly applicable to identifying\ndifferentially expressed genes in DNA microarray experiments.",
  "Maintainer": "Katherine S. Pollard <katherine.pollard@gladstone.ucsf.edu>",
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  "biocViews": "Microarray, DifferentialExpression, MultipleComparison",
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  "Date/Publication": "2026-04-28 12:29:57 UTC",
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      "title": "A function to perform empirical Bayes resampling-based multiple hypothesis testing",
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