Exploiting high-throughput literature mining to support read-across predictions of toxicity

Patlewicz, Grace; Baker, Nancy; Knudsen, Thomas; Crofton, Kevin; , 0000-0003-3863-9689; , 0000-0002-8735-2185; , 0000-0003-1749-9971

doi:10.23645/epacomptox.6456227.v1

Patlewicz_LitToxPi_150817_jc_final.pdf (1.25 MB)

Exploiting high-throughput literature mining to support read-across predictions of toxicity

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posted on 2018-06-07, 16:21 authored by Grace Patlewicz, Nancy Baker, Thomas Knudsen, Kevin CroftonKevin Crofton, 0000-0003-3863-9689, 0000-0002-8735-2185, 0000-0003-1749-9971

Presentation at the World Congress 10 meeting in Seattle, WA August 2017

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Center for Computational Toxicology and Exposure

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Read-Across high-throughput literature mining MeSH skin sensitization Toxicology

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Exploiting high-throughput literature mining to support read-across predictions of toxicity

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