From a6ae9ffd6a133828644099453731eac155d6d367 Mon Sep 17 00:00:00 2001 From: Roel Janssen Date: Tue, 24 Apr 2018 13:55:35 +0200 Subject: [PATCH] gnu: Add r-multtest. * gnu/packages/bioconductor.scm (r-multtest): New variable. --- gnu/packages/bioconductor.scm | 38 +++++++++++++++++++++++++++++++++++ 1 file changed, 38 insertions(+) diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index 4c212ecf02..7cf6811d52 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -147,3 +147,41 @@ a suite of bioinformatics tools integrated within this self-contained software package comprehensively addressing issues ranging from post-alignments processing to visualization and annotation.") (license license:gpl2))) + +(define-public r-multtest + (package + (name "r-multtest") + (version "2.34.0") + (source + (origin + (method url-fetch) + (uri (bioconductor-uri "multtest" version)) + (sha256 + (base32 + "0n11rd49xl2vn3ldmfips7d3yb70l8npjcqsxyswr9ypjhgzkv9j")))) + (build-system r-build-system) + (propagated-inputs + `(("r-survival" ,r-survival) + ("r-biocgenerics" ,r-biocgenerics) + ("r-biobase" ,r-biobase) + ("r-mass" ,r-mass))) + (home-page "http://bioconductor.org/packages/multtest") + (synopsis "Resampling-based multiple hypothesis testing") + (description + "This package can do non-parametric bootstrap and permutation +resampling-based multiple testing procedures (including empirical Bayes +methods) for controlling the family-wise error rate (FWER), generalized +family-wise error rate (gFWER), tail probability of the proportion of +false positives (TPPFP), and false discovery rate (FDR). Several choices +of bootstrap-based null distribution are implemented (centered, centered +and scaled, quantile-transformed). Single-step and step-wise methods are +available. Tests based on a variety of T- and F-statistics (including +T-statistics based on regression parameters from linear and survival models +as well as those based on correlation parameters) are included. When probing +hypotheses with T-statistics, users may also select a potentially faster null +distribution which is multivariate normal with mean zero and variance +covariance matrix derived from the vector influence function. Results are +reported in terms of adjusted P-values, confidence regions and test statistic +cutoffs. The procedures are directly applicable to identifying differentially +expressed genes in DNA microarray experiments.") + (license license:lgpl3)))