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Front Genet. 2020 Feb 26;11:175. doi: 10.3389/fgene.2020.00175. eCollection 2020.

Editorial: Deep Learning for Toxicity and Disease Prediction.

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Environmental Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS, United States.
School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS, United States.
Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR, United States.


chemical toxicity prediction; conventional machine learning; deep learning; deep neural networks; disease diagnosis or prognosis

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