rSEA: Simultaneous Enrichment Analysis

SEA performs simultaneous feature-set testing for (gen)omics data. It tests the unified null hypothesis controls the family-wise error rate for all possible pathways. The unified null hypothesis is defined as: "The proportion of true features in the set is less than or equal to the threshold c", where c is selected by the user. Family-wise error rate control is provided through use of closed testing with Simes test. For more information on closed testing with Simes see Goeman et al. (2019) <doi:10.1093/biomet/asz041> and for more information about the properties and performance of SEA procedure see Ebrahimpoor et al. (2019) <doi:10.1093/bib/bbz074>.

Version: 2.1.1
Depends: R (≥ 2.10), hommel (≥ 1.4), ggplot2
Suggests: knitr, rmarkdown
Published: 2020-03-23
Author: Mitra Ebrahimpoor
Maintainer: Mitra Ebrahimpoor <mitra.ebrahimpoor at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/mitra-ep/rSEA
NeedsCompilation: no
Materials: README
CRAN checks: rSEA results

Downloads:

Reference manual: rSEA.pdf
Vignettes: rSEA R package
Package source: rSEA_2.1.1.tar.gz
Windows binaries: r-devel: rSEA_2.1.1.zip, r-release: rSEA_2.1.1.zip, r-oldrel: rSEA_2.1.1.zip
macOS binaries: r-release (arm64): rSEA_2.1.1.tgz, r-release (x86_64): rSEA_2.1.1.tgz, r-oldrel: rSEA_2.1.1.tgz
Old sources: rSEA archive

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