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 |
| 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: AEenrich_1.0.0.tgz, r-oldrel: AEenrich_1.0.0.tgz |
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