Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology
出版年份 2021 全文链接
标题
Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology
作者
关键词
Toxicity, Predictive toxicology, Neural networks, Support vector machines, Zebrafish, Chemical properties, Machine learning algorithms, Machine learning
出版物
PLoS Computational Biology
Volume 17, Issue 7, Pages e1009135
出版商
Public Library of Science (PLoS)
发表日期
2021-07-03
DOI
10.1371/journal.pcbi.1009135
参考文献
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