Transitioning the generalised read-across approach (GenRA) to quantitative predictions: A case study using acute oral toxicity data

Metadata Updated: December 3, 2020

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).

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

References

https://doi.org/10.1016/j.comtox.2019.100097

Dates

Metadata Created Date December 3, 2020
Metadata Updated Date December 3, 2020

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date December 3, 2020
Metadata Updated Date December 3, 2020
Publisher U.S. EPA Office of Research and Development (ORD)
Unique Identifier Unknown
Maintainer
Identifier https://doi.org/10.23719/1504437
Data Last Modified 2019-07-25
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
License https://pasteur.epa.gov/license/sciencehub-license.html
Program Code 020:095
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents https://doi.org/10.1016/j.comtox.2019.100097
Source Datajson Identifier True
Source Hash 7ddee402590565f7e121a1d2ed42a19217f772d6
Source Schema Version 1.1

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