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) <doi:10.48550/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
DOI: 10.32614/CRAN.package.AEenrich
Author: Shuoran Li [aut], Hongfan Chen [aut], Lili Zhao [aut], Michael Kleinsasser [aut, cre]
Maintainer: Michael Kleinsasser <mkleinsa at>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: AEenrich results


Reference manual: AEenrich.pdf


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


Please use the canonical form to link to this page.