Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology

There are currently 85,000 chemicals registered with the Environmental Protection Agency (EPA) under the Toxic Substances Control Act, but only a small fraction have measured toxicological data. To address this gap, high-throughput screening (HTS) and computational methods are vital. As part of one...

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Detalles Bibliográficos
Autores principales: Green, Adrian J., Mohlenkamp, Martin J., Das, Jhuma, Chaudhari, Meenal, Truong, Lisa, Tanguay, Robyn L., Reif, David M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8301607/
https://www.ncbi.nlm.nih.gov/pubmed/34214078
http://dx.doi.org/10.1371/journal.pcbi.1009135

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8301607/
https://www.ncbi.nlm.nih.gov/pubmed/34214078
http://dx.doi.org/10.1371/journal.pcbi.1009135

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