AEenrich: Adverse Event Enrichment Tests

We extend existing gene enrichment tests to perform adverse event enrichment analysis. Unlike the continuous gene expression data, adverse event data are counts. Therefore, adverse event data has many zeros and ties. We propose two enrichment tests. One is a modified Fisher's exact test based on pre-selected significant adverse events, while the other is based on a modified Kolmogorov-Smirnov statistic. "Adverse event enrichment tests using VAERS" Shuoran Li, Lili Zhao (2020) <arXiv:2007.02266>.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: dplyr, magrittr, qvalue
Suggests: testthat
Published: 2020-07-30
Author: Shuoran Li [aut], Lili Zhao [aut], Michael Kleinsasser [aut, cre]
Maintainer: Michael Kleinsasser <mkleinsa at umich.edu>
BugReports: https://github.com/umich-biostatistics/AEenrich/issues
License: GPL-2
URL: https://github.com/umich-biostatistics/AEenrich
NeedsCompilation: no
Materials: README
CRAN checks: AEenrich results

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Reference manual: AEenrich.pdf
Package source: AEenrich_1.0.0.tar.gz
Windows binaries: r-devel: AEenrich_1.0.0.zip, r-release: AEenrich_1.0.0.zip, r-oldrel: AEenrich_1.0.0.zip
macOS binaries: r-release (arm64): AEenrich_1.0.0.tgz, r-release (x86_64): AEenrich_1.0.0.tgz, r-oldrel: AEenrich_1.0.0.tgz

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