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Generalised Read-Across Prediction using genra-py

Published by U.S. EPA Office of Research and Development (ORD) | U.S. Environmental Protection Agency | Catalog Last Checked: April 21, 2026 at 08:01 PM | Dataset Last Updated: December 14, 2020
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).

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