Integrating machine learning and neural networks for new diagnostic approaches to idiopathic pulmonary fibrosis and immune infiltration research
ASPN, COMP, and GPX8 have been identified as potential diagnostic genes for IPF, and the most relevant immune cell types have been determined. Our research results propose potential biomarkers for diagnosing IPF and present new pathways for investigating its pathogenesis and devising novel therapeutic approaches.
Authors
- Qian Chen (ORCID: https://orcid.org/0000-0002-1508-3502)
- Jian Liu (ORCID: https://orcid.org/0000-0002-9853-3619)
- Yu Guang Wang
- Yi Kang
- Ying Liu (ORCID: https://orcid.org/0009-0002-2364-2623)
- Jin Qian (ORCID: https://orcid.org/0009-0002-8111-5864)
- Wenwen Jin (ORCID: https://orcid.org/0000-0001-7771-3058)
- Yali Guo
Institutions
- Beijing University of Chinese Medicine (CN)
- Capital Medical University (CN)
- Beijing Hospital of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1371/journal.pone.0320242
- Citations
- 4
- Primary Topic
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Type
- article
- Field-Weighted Citation Impact
- 6.07