Generalised Read-Across (GenRA) refinements

These new analysis builds on the baseline GenRA approach and presents a proof of concept of how other contexts of similarity namely physchem can be implemented into a search strategy for identification of analogues and how this impacts performance of read-across. Chemicals Involved: Same ToxRef dataset as used in the original GenRA manuscript. This dataset is associated with the following publication: Helman, G., I. Shah, and G. Patlewicz. Extending the Generalised Read-Across approach (GenRA): A systematic analysis of the impact of physicochemical property information on read-across performance. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 8: 34-50, (2018).

[
  "020:00"
]

[
  "020:095"
]

[
  "https://doi.org/10.1016/j.comtox.2018.07.001"
]