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2. Identification of novel biomarkers for sepsis diagnosis via serum proteomic analysis using iTRAQ‐2D‐LC‐MS/MS
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3. OLFM4 polymorphisms predict septic shock survival after major surgery
   Felipe Pérez‐García et al, 2021, European Journal of Clinical Investigation CrossRef
4. Using of TLR2 and TLR4 as Biomarker of Sepsis Severity Detection
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5. Identification of Nine mRNA Signatures for Sepsis Using Random Forest
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6. Estimates of gene ensemble noise highlight critical pathways and predict disease severity in H1N1, COVID-19 and mortality in sepsis patients
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7. Diagnostic and predictive values of pyroptosis-related genes in sepsis
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8. Screening of Key Genes of Sepsis and Septic Shock Using Bioinformatics Analysis
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9. miR‑23a downregulation modulates the inflammatory response by targeting ATG12‑mediated autophagy
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10. TIGIT and PD-1 may serve as potential prognostic biomarkers for gastric cancer
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11. Time Series Gene Expression Profiles Analysis Identified Several Potential Biomarkers for Sepsis
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12. B2M is a Biomarker Associated With Immune Infiltration In High Altitude Pulmonary Edema
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13. iTRAQ‑based proteomic analysis of endotoxin tolerance induced by lipopolysaccharide
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14. Identification of Immune-Related Genes Concurrently Involved in Critical Illnesses Across Different Etiologies: A Data-Driven Analysis
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