Gene correlation network analysis to identify regulatory factors in sepsis

Abstract excerpt

BACKGROUND AND OBJECTIVES: Sepsis is a leading cause of mortality and morbidity in the intensive care unit. Regulatory mechanisms underlying the disease progression and prognosis are largely unknown. The study aimed to identify master regulators of mortality-related modules, providing potential therapeutic target for further translational experiments. METHODS: The dataset GSE65682 from the Gene Expression Omnibus...

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