Benchmarking omics-based prediction of asthma development in children

Benchmarking omics-based prediction of asthma development in children

Abstract Background Asthma is a heterogeneous disease with high morbidity. Advancement in high-throughput multi-omics approaches has enabled the collection of molecular assessments at different layers, providing a complementary perspective of complex diseases. Numerous computational methods have bee...

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Bibliographic Details
Main Authors: Xu-Wen Wang, Tong Wang, Darius P. Schaub, Can Chen, Zheng Sun, Shanlin Ke, Julian Hecker, Anna Maaser-Hecker, Oana A. Zeleznik, Roman Zeleznik, Augusto A. Litonjua, Dawn L. DeMeo, Jessica Lasky-Su, Edwin K. Silverman, Yang-Yu Liu, Scott T. Weiss
Format: Article
Language:English
Published: BMC 2023-02-01
Series:Respiratory Research
Subjects:
Asthma
Disease status
Prediction
Multi-omics
Online Access:https://doi.org/10.1186/s12931-023-02368-8

Internet

https://doi.org/10.1186/s12931-023-02368-8

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