Machine learning approaches to detect hepatocyte chromatin alterations from iron oxide nanoparticle exposure

Machine learning approaches to detect hepatocyte chromatin alterations from iron oxide nanoparticle exposure

Abstract This study focuses on developing machine learning models to detect subtle alterations in hepatocyte chromatin organization due to Iron (II, III) oxide nanoparticle exposure, hypothesizing that exposure will significantly alter chromatin texture. A total of 2000 hepatocyte nuclear regions of...

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Bibliographic Details
Main Authors: Jovana Paunovic Pantic, Danijela Vucevic, Tatjana Radosavljevic, Peter R. Corridon, Svetlana Valjarevic, Jelena Cumic, Ljubisa Bojic, Igor Pantic
Format: Article
Language:English
Published: Nature Portfolio 2024-08-01
Series:Scientific Reports
Subjects:
Machine learning
Nucleus
Random forest
Gradient boosting
Toxicology
Online Access:https://doi.org/10.1038/s41598-024-70559-4

Internet

https://doi.org/10.1038/s41598-024-70559-4

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