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. We add Covariate adjustment to improve the analysis."Adverse event enrichment tests using VAERS" Shuoran Li, Lili Zhao (2020) <arXiv:2007.02266>.

Version: 1.1.0
Depends: R (≥ 3.5.0)
Imports: dplyr, magrittr, qvalue, doParallel, tidyr, modelr, foreach, rlang, utils
Suggests: testthat
Published: 2021-11-01
Author: Shuoran Li [aut], Hongfan Chen [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

Documentation:

Reference manual: AEenrich.pdf

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Package source: AEenrich_1.1.0.tar.gz
Windows binaries: r-devel: AEenrich_1.1.0.zip, r-release: AEenrich_1.1.0.zip, r-oldrel: AEenrich_1.1.0.zip
macOS binaries: r-release (arm64): AEenrich_1.1.0.tgz, r-release (x86_64): AEenrich_1.1.0.tgz, r-oldrel: AEenrich_1.1.0.tgz
Old sources: AEenrich archive

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