Generalised Read-Across Prediction using genra-py
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).
Resources
| Name |
Format |
Description |
Link |
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0 |
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https://github.com/i-shah/genra-py |
Tags
- chemical-safety-research
- curated-data
- pharmacokinetics
- models