Guidance for good practice in the application of machine learning in development of toxicological quantitative structure-activity relationships (QSARs)

Recent years have seen a substantial growth in the adoption of machine learning approaches for the purposes of quantitative structure-activity relationship (QSAR) development. Such a trend has coincided with desire to see a shifting in the focus of methodology employed within chemical safety assessm...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PloS one Jg. 18; H. 5; S. e0282924
Hauptverfasser: Belfield, Samuel J., Cronin, Mark T.D., Enoch, Steven J., Firman, James W.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Public Library of Science 10.05.2023
Schlagworte:
ISSN:1932-6203, 1932-6203
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!