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 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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