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Identifying effective diagnostic biomarkers in sepsis by bioinformatics analysis

Mingxin Han1, Hong Zheng1, Donghao Wang1

  • 1Department of Critical Care Medicine, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.

Computer Methods in Biomechanics and Biomedical Engineering
|December 1, 2025
PubMed
Summary

This study identifies 14 hub genes as potential biomarkers for sepsis diagnosis and treatment. These key genes were discovered using bioinformatics analysis of gene expression data.

Keywords:
Sepsisbioanalysisbiomarker

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