Genetic biomarker prediction based on gender disparity in asthma throughout machine learning
Cai Chen,
Fenglong Yuan,
Xiangwei Meng
et al.
Abstract:BackgroundAsthma is a chronic respiratory condition affecting populations worldwide, with prevalence ranging from 1–18% across different nations. Gender differences in asthma prevalence have attracted much attention.PurposeThe aim of this study was to investigate biomarkers of gender differences in asthma prevalence based on machine learning.MethodThe data came from the gene expression omnibus database (GSE69683, GSE76262, and GSE41863), which involved in a number of 575 individuals, including 240 males and 33… Show more
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