Identifying Protein Features and Pathways Responsible for Toxicity Using Machine Learning and Tox21: Implications for Predictive Toxicology

Humans are exposed to numerous compounds daily, some of which have adverse effects on health. Computational approaches for modeling toxicological data in conjunction with machine learning algorithms have gained popularity over the last few years. Machine learning approaches have been used to predict...

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Главные авторы:	Lama Moukheiber, William Mangione, Mira Moukheiber, Saeed Maleki, Zackary Falls, Mingchen Gao, Ram Samudrala
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2022-05-01
Серии:	Molecules
Предметы:	machine learning random forest feature selection structure–activity relationships high-throughput screening enrichment analysis
Online-ссылка:	https://www.mdpi.com/1420-3049/27/9/3021
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