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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主要な著者:	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
フォーマット:	Artigo
言語:	Inglês
出版事項:	BMC 2023-02-01
シリーズ:	Respiratory Research
主題:	Asthma Disease status Prediction Multi-omics
オンライン･アクセス:	https://doi.org/10.1186/s12931-023-02368-8
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