Integrated transcriptomic analysis of COVID-19 stages and recovery: insights into key gene signatures, immune features, and diagnostic biomarkers through machine learning
This study identified CCR5, CYSLTR1, and KLRG1 as efficient diagnostic biomarkers for severe COVID-19 using machine learning and revealed immune regulatory features across COVID-19 progression and recovery.
Authors
- Zhiyuan Gong (ORCID: https://orcid.org/0000-0002-9660-5260)
- An He (ORCID: https://orcid.org/0000-0002-5942-4655)
Institutions
- Nankai University (CN)
- Tianjin First Center Hospital (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- Frontiers in Genetics
- Published
- 2025-05-15
- DOI
- https://doi.org/10.3389/fgene.2025.1599867
- Citations
- 2
- Primary Topic
- COVID-19 Clinical Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.79