Editorial: Deep Learning for Toxicity and Disease Prediction

Bibliographic Details
Main Authors: Ping Gong, Chaoyang Zhang, Minjun Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-02-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2020.00175/full
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spelling doaj-f590d53cde4649f298c2a23a4b9781452020-11-25T01:57:43ZengFrontiers Media S.A.Frontiers in Genetics1664-80212020-02-011110.3389/fgene.2020.00175529033Editorial: Deep Learning for Toxicity and Disease PredictionPing Gong0Chaoyang Zhang1Minjun Chen2Environmental Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS, United StatesSchool of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS, United StatesDivision of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR, United Stateshttps://www.frontiersin.org/article/10.3389/fgene.2020.00175/fulldeep learningdisease diagnosis or prognosischemical toxicity predictiondeep neural networksconventional machine learning
collection DOAJ
language English
format Article
sources DOAJ
author Ping Gong
Chaoyang Zhang
Minjun Chen
spellingShingle Ping Gong
Chaoyang Zhang
Minjun Chen
Editorial: Deep Learning for Toxicity and Disease Prediction
Frontiers in Genetics
deep learning
disease diagnosis or prognosis
chemical toxicity prediction
deep neural networks
conventional machine learning
author_facet Ping Gong
Chaoyang Zhang
Minjun Chen
author_sort Ping Gong
title Editorial: Deep Learning for Toxicity and Disease Prediction
title_short Editorial: Deep Learning for Toxicity and Disease Prediction
title_full Editorial: Deep Learning for Toxicity and Disease Prediction
title_fullStr Editorial: Deep Learning for Toxicity and Disease Prediction
title_full_unstemmed Editorial: Deep Learning for Toxicity and Disease Prediction
title_sort editorial: deep learning for toxicity and disease prediction
publisher Frontiers Media S.A.
series Frontiers in Genetics
issn 1664-8021
publishDate 2020-02-01
topic deep learning
disease diagnosis or prognosis
chemical toxicity prediction
deep neural networks
conventional machine learning
url https://www.frontiersin.org/article/10.3389/fgene.2020.00175/full
work_keys_str_mv AT pinggong editorialdeeplearningfortoxicityanddiseaseprediction
AT chaoyangzhang editorialdeeplearningfortoxicityanddiseaseprediction
AT minjunchen editorialdeeplearningfortoxicityanddiseaseprediction
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