Machine learning-based screening of asthma biomarkers and related immune infiltration
This study identified new marker genes for the prediction and diagnosis of asthma, which can be further validated and applied clinically.
Authors
- Jingjing Song (ORCID: https://orcid.org/0000-0002-2026-8755)
- Changyu Lei (ORCID: https://orcid.org/0000-0001-8675-074X)
- Xinyi Xu (ORCID: https://orcid.org/0000-0001-6867-7307)
- Xiaodong Xia (ORCID: https://orcid.org/0000-0002-6336-2661)
- Xiaoming Wang (ORCID: https://orcid.org/0000-0002-6648-0057)
- Wei Dai (ORCID: https://orcid.org/0000-0002-1936-0407)
- Weixi Zhang (ORCID: https://orcid.org/0000-0002-1686-1169)
- Xiaoying S. Zhong (ORCID: https://orcid.org/0000-0003-2695-4163)
- Jiahui Yu
- Junwen Fan
- Yufei Wang (ORCID: https://orcid.org/0000-0001-6659-9691)
Institutions
- Wenzhou Medical University (CN)
- Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University (CN)
- Shandong Maternal and Child Health Hospital (CN)
Publication Details
- Journal
- Frontiers in Allergy
- Published
- 2025-01-29
- DOI
- https://doi.org/10.3389/falgy.2025.1506608
- Citations
- 3
- Primary Topic
- Asthma and respiratory diseases
- Type
- article
- Field-Weighted Citation Impact
- 3.49