Integrative multi-omics and machine learning identify mitochondrial biomarkers for pathogen-specific sepsis stratification and translational prioritization.
- DOI
- 10.1186/s40001-026-04065-w
- Published
- 2026-03-06
- Container
- Eur J Med Res
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1186/s40001-026-04065-w,
title = {Integrative multi-omics and machine learning identify mitochondrial biomarkers for pathogen-specific sepsis stratification and translational prioritization.},
author = {Jin C and Hao R and Gonggaoang B and Dai Q and Ren X and Shen J.},
year = {2026},
journal = {Eur J Med Res},
doi = {10.1186/s40001-026-04065-w},
url = {https://doi.org/10.1186/s40001-026-04065-w}
}RIS
TY - JOUR TI - Integrative multi-omics and machine learning identify mitochondrial biomarkers for pathogen-specific sepsis stratification and translational prioritization. AU - Jin C AU - Hao R AU - Gonggaoang B AU - Dai Q AU - Ren X AU - Shen J. PY - 2026 JO - Eur J Med Res DO - 10.1186/s40001-026-04065-w UR - https://doi.org/10.1186/s40001-026-04065-w ER -
APA
C, J., R, H., B, G., Q, D., X, R., & J., S. (2026). Integrative multi-omics and machine learning identify mitochondrial biomarkers for pathogen-specific sepsis stratification and translational prioritization.. Eur J Med Res. https://doi.org/10.1186/s40001-026-04065-w
Source records
- europe-pmc · retrieved 2026-09-27T01:14:09.306Z
- doaj · retrieved 2026-09-27T01:14:09.290Z