Return to search results
Generalised Read-Across Prediction using genra-py
Read-across (RAX) is a widely used data gap filling approach and the authors have developed a data-driven tool, called GenRA, to support expert-driven RAX. This work describes a stand-alone Python 3 package, called genra-py, which enables end-users to conduct hazard identification and point of departure (POD) estimation using GenRA.
This dataset is associated with the following publication:
Shah, I., T. Tate, and G. Patlewicz. Generalised Read-Across Prediction using genra-py. BIOINFORMATICS. Oxford University Press, Cary, NC, USA, 37(19): 3380-3381, (2021).
Find Related Datasets
Search by Tags
Click any tag below to search for similar datasets
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "020:00" ] |
| contactPoint |
{ "fn": "Grace Patlewicz", "hasEmail": "mailto:patlewicz.grace@epa.gov" } |
| description | Read-across (RAX) is a widely used data gap filling approach and the authors have developed a data-driven tool, called GenRA, to support expert-driven RAX. This work describes a stand-alone Python 3 package, called genra-py, which enables end-users to conduct hazard identification and point of departure (POD) estimation using GenRA. This dataset is associated with the following publication: Shah, I., T. Tate, and G. Patlewicz. Generalised Read-Across Prediction using genra-py. BIOINFORMATICS. Oxford University Press, Cary, NC, USA, 37(19): 3380-3381, (2021). |
| distribution |
[ { "title": "https://github.com/i-shah/genra-py", "accessURL": "https://github.com/i-shah/genra-py" } ] |
| identifier | https://doi.org/10.23719/1520471 |
| keyword |
[ "Models", "chemical safety research", "curated data", "pharmacokinetics" ] |
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2020-12-14 |
| programCode |
[ "020:000" ] |
| 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/10.1093/bioinformatics/btab210" ] |
| rights |
null
|
| title | Generalised Read-Across Prediction using genra-py |
