Development of machine learning models for the prediction of the skin sensitization potential of cosmetic compounds

Development of machine learning models for the prediction of the skin sensitization potential of cosmetic compounds

Background To enhance the accuracy of allergen detection in cosmetic compounds, we developed a co-culture system that combines HaCaT keratinocytes (transfected with a luciferase plasmid driven by the AKR1C2 promoter) and THP-1 cells for machine learning applications. Methods Following chemical expos...

Volledige beschrijving

Bibliografische gegevens
Hoofdauteurs: Wu Qiao, Tong Xie, Jing Lu, Tinghan Jia
Formaat: Artikel
Taal:English
Gepubliceerd in: PeerJ Inc. 2024-12-01
Reeks:PeerJ
Onderwerpen:
Machine learning
Skin sensitization
Co-culture
THP-1
RNA-Seq
Online toegang:https://peerj.com/articles/18672.pdf

Internet

https://peerj.com/articles/18672.pdf

Gelijkaardige items