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AEenrich  

Adverse Event Enrichment Tests
View on CRAN: Click here


Download and install AEenrich package within the R console
Install from CRAN:
install.packages("AEenrich")

Install from Github:
library("remotes")
install_github("cran/AEenrich")

Install by package version:
library("remotes")
install_version("AEenrich", "1.1.0")



Attach the package and use:
library("AEenrich")
Maintained by
Michael Kleinsasser
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-30
Latest Update: 2021-11-01
Description:
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) .
How to cite:
Michael Kleinsasser (2020). AEenrich: Adverse Event Enrichment Tests. R package version 1.1.0, https://cran.r-project.org/web/packages/AEenrich. Accessed 06 Nov. 2024.
Previous versions and publish date:
1.0.0 (2020-07-30 11:02)
Other packages that cited AEenrich R package
View AEenrich citation profile
Other R packages that AEenrich depends, imports, suggests or enhances
Complete documentation for AEenrich
Functions, R codes and Examples using the AEenrich R package
Some associated functions: AEenrich-package . count_cases . covid1 . covid2 . enrich . group . 
Some associated R codes: Fisher_enrichment.R . HitMiss_curve.R . KS_enrichment.R . count_cases.R . data.R . enrich.R . fisher_test.R . get_ES.R . odds_ratio.R . set_null.R .  Full AEenrich package functions and examples
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