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Source: r-bioc-multtest
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: Andreas Tille <tille@debian.org>
Section: gnu-r
Priority: optional
Build-Depends: debhelper (>= 9),
dh-r,
r-base-dev,
r-bioc-biobase,
r-cran-survival,
r-cran-mass
Standards-Version: 3.9.8
Vcs-Browser: https://anonscm.debian.org/viewvc/debian-med/trunk/packages/R/r-bioc-multtest/trunk/
Vcs-Svn: svn://anonscm.debian.org/debian-med/trunk/packages/R/r-bioc-multtest/trunk/
Homepage: https://bioconductor.org/packages//multtest/
Package: r-bioc-multtest
Architecture: any
Depends: ${R:Depends},
${misc:Depends},
${shlibs:Depends},
Recommends: ${R:Recommends}
Suggests: ${R:Suggests}
Description: Bioconductor resampling-based multiple hypothesis testing
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.
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