Development and validation of asthma risk prediction models using co-expression gene modules and machine learning methods

Abstract Asthma is a heterogeneous respiratory disease characterized by airway inflammation and obstruction. Despite recent advances, the genetic regulation of asthma pathogenesis is still largely unknown. Gene expression profiling techniques are well suited to study complex diseases including asthm...

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Bibliographic Details
Main Authors: Eskezeia Y. Dessie, Yadu Gautam, Lili Ding, Mekibib Altaye, Joseph Beyene, Tesfaye B. Mersha
Format: Article
Language:English
Published: Nature Portfolio 2023-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-35866-2