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Transitioning the generalised read-across approach (GenRA) to quantitative predictions: A case study using acute oral toxicity data
This repository contains code, input and output files associated with the GenRA acute toxicity case study that was published by Helman et al (2019) in Computational Toxicology.
This dataset is associated with the following publication:
Helman, G., I. Shah, and G. Patlewicz. Transitioning the Generalised Read-Across approach (GenRA) to quantitative predictions: A case study using acute oral toxicity data. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 12(November 2019): 100097, (2019).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Ann Richard",
"hasEmail": "mailto:richard.ann@epa.gov"
}
|
| description | This repository contains code, input and output files associated with the GenRA acute toxicity case study that was published by Helman et al (2019) in Computational Toxicology. This dataset is associated with the following publication: Helman, G., I. Shah, and G. Patlewicz. Transitioning the Generalised Read-Across approach (GenRA) to quantitative predictions: A case study using acute oral toxicity data. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 12(November 2019): 100097, (2019). |
| distribution |
[
{
"title": "https://github.com/USEPA/CompTox-GenRA-acutetox-comptoxicol",
"accessURL": "https://github.com/USEPA/CompTox-GenRA-acutetox-comptoxicol"
}
]
|
| identifier | https://doi.org/10.23719/1504437 |
| keyword |
[
"DSSTox"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2019-07-25 |
| programCode |
[
"020:095"
]
|
| publisher |
{
"name": "U.S. EPA Office of Research and Development (ORD)",
"subOrganizationOf": {
"name": "U.S. Environmental Protection Agency",
"subOrganizationOf": {
"name": "U.S. Government"
}
}
}
|
| references |
[
"https://doi.org/10.1016/j.comtox.2019.100097"
]
|
| rights |
null
|
| title | Transitioning the generalised read-across approach (GenRA) to quantitative predictions: A case study using acute oral toxicity data |
