Bioinformatics Analysis of Gene Expression Profiles for Diagnosing Sepsis and Risk Prediction in Patients with Sepsis. Bioinformatics Analysis of Gene Expression Profiles for Diagnosing Sepsis and Risk Prediction in Patients with Sepsis

This study aimed to compare gene expression profiles between patients with sepsis and healthy volunteers, to determine the accuracy of these profiles in diagnosing sepsis, and to predict sepsis outcomes by combining bioinformatics data with molecular experiments and clinical information. Overall design: Comparative gene expression profiling analysis of RNA-seq data for patients with sepsis and healthy volunteer.