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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.

Author information

1
Environmental Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS, United States.
2
School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS, United States.
3
Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR, United States.

KEYWORDS:

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

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