Genomic and algorithm-based predictive risk assessment models for benzene exposure

Genomic and algorithm-based predictive risk assessment models for benzene exposure

AimIn this research, we leveraged bioinformatics and machine learning to pinpoint key risk genes associated with occupational benzene exposure and to construct genomic and algorithm-based predictive risk assessment models.Subject and methodsWe sourced GSE9569 and GSE21862 microarray data from the Ge...

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Bibliographic Details
Main Authors: Minyun Jiang, Na Cai, Juan Hu, Lei Han, Fanwei Xu, Baoli Zhu, Boshen Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Public Health
Subjects:
benzene-induced damage
benzene exposure
machine learning
bioinformatics
risk assessment
occupational health
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2024.1419361/full
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https://www.frontiersin.org/articles/10.3389/fpubh.2024.1419361/full

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