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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Ngā taipitopito rārangi puna kōrero

Ngā kaituhi matua:	Lama Moukheiber, William Mangione, Mira Moukheiber, Saeed Maleki, Zackary Falls, Mingchen Gao, Ram Samudrala
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	MDPI AG 2022-05-01
Rangatū:	Molecules
Ngā marau:	machine learning random forest feature selection structure–activity relationships high-throughput screening enrichment analysis
Urunga tuihono:	https://www.mdpi.com/1420-3049/27/9/3021
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!