Leveraging diverse cell-death patterns in diagnosis of sepsis by integrating bioinformatics and machine learning
We developed and validated a diagnostic model for sepsis based on three PCD-related genes. Our study might provide potential peripheral blood diagnostic candidate biomarkers for patients with sepsis.
Authors
- Hongfa Wang (ORCID: https://orcid.org/0000-0002-2170-4344)
- Yunru Sheng
- Xingxing Gao (ORCID: https://orcid.org/0009-0003-2543-4542)
- Renlai Zhu (ORCID: https://orcid.org/0000-0002-6150-585X)
- Xiaojun Li (ORCID: https://orcid.org/0000-0002-7526-0558)
- Mi Liu (ORCID: https://orcid.org/0000-0002-6508-0115)
- Yiping Zhang (ORCID: https://orcid.org/0000-0002-7944-782X)
Institutions
- Zhejiang Provincial People's Hospital (CN)
- Hangzhou Medical College (CN)
- First Affiliated Hospital Zhejiang University (CN)
Publication Details
- Journal
- PeerJ
- Published
- 2025-02-26
- DOI
- https://doi.org/10.7717/peerj.19077
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00