Identification of immune cell mitochondrial dysfunction characteristics and clinical predictive biomarkers in sepsis via multi-cohort machine learning and single-cell RNA sequencing
- DOI
- 10.1007/s00011-026-02366-8
- Published
- 2026-09-19
- Container
- Inflammation Research
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00011-026-02366-8,
title = {Identification of immune cell mitochondrial dysfunction characteristics and clinical predictive biomarkers in sepsis via multi-cohort machine learning and single-cell RNA sequencing},
author = {Xin Le and Youfen Fan and Sida Xu and Jiliang Li and Shengyong Cui and Guoying Jin and Neng Huang and Yaohua Yu and Pei Xu},
year = {2026},
journal = {Inflammation Research},
doi = {10.1007/s00011-026-02366-8},
url = {https://doi.org/10.1007/s00011-026-02366-8}
}RIS
TY - JOUR TI - Identification of immune cell mitochondrial dysfunction characteristics and clinical predictive biomarkers in sepsis via multi-cohort machine learning and single-cell RNA sequencing AU - Xin Le AU - Youfen Fan AU - Sida Xu AU - Jiliang Li AU - Shengyong Cui AU - Guoying Jin AU - Neng Huang AU - Yaohua Yu AU - Pei Xu PY - 2026 JO - Inflammation Research DO - 10.1007/s00011-026-02366-8 UR - https://doi.org/10.1007/s00011-026-02366-8 ER -
APA
Le, X., Fan, Y., Xu, S., Li, J., Cui, S., Jin, G., Huang, N., Yu, Y., & Xu, P. (2026). Identification of immune cell mitochondrial dysfunction characteristics and clinical predictive biomarkers in sepsis via multi-cohort machine learning and single-cell RNA sequencing. Inflammation Research. https://doi.org/10.1007/s00011-026-02366-8
Source records
- crossref · retrieved 2026-09-25T14:17:21.238Z