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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Detalles Bibliográficos
Autores principales: Moukheiber, Lama, Mangione, William, Moukheiber, Mira, Maleki, Saeed, Falls, Zackary, Gao, Mingchen, Samudrala, Ram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9099959/
https://www.ncbi.nlm.nih.gov/pubmed/35566372
http://dx.doi.org/10.3390/molecules27093021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9099959/
https://www.ncbi.nlm.nih.gov/pubmed/35566372
http://dx.doi.org/10.3390/molecules27093021

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