Adverse Outcome Pathway Analysis

Provides tools for analyzing adverse outcome pathways (AOPs) for pharmacological and toxicological research. Functionality includes the ability to perform causal network analysis of networks developed in and exported from Cytoscape or existing as R graph objects, and identifying the point of departure/screening/risk value from concentration- response data.


The overall goal of the aop package is to provide a single package to facilitate the use of Adverse Outcome Pathways for chemical risk assessment, hazard identification, and risk screening in an environmental health context. Currently, the aop package provides capabilities for:

  1. Identifying key events sufficient to infer an adverse outcome
  2. Concentration-response analysis to identify the point of departure

Note: The point of departure is the point at which the exposed population begins to deviate from the exposed non-response population (in other words, the concentration at which adversity is likely to be seen in the population).

#Examples For examples, please see the package documentation.

#Installation

#from github
library(devtools)
install_github("DataSciBurgoon/aop", build_vignettes=TRUE)

#Overview Please see the vignettes for tutorials on use.

News

Initial version.

Reference manual

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install.packages("aop")

1.0.0 by Lyle D. Burgoon, a year ago


Browse source code at https://github.com/cran/aop


Authors: Lyle D. Burgoon <Lyle.D.Burgoon@usace.army.mil>


Documentation:   PDF Manual  


CC0 license


Imports graph, rjson, igraph, Rgraphviz, methods, plyr, ggplot2, splines

Suggests RUnit, knitr, rmarkdown, BiocGenerics


See at CRAN