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Raw data and baseline data for sepsis cardiomyopathy
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Exploration and validation of signature genes and immune associations in septic cardiomyopathy
An early and accurate diagnosis of septic cardiomyopathy is vital for improving the overall prognosis of sepsis. In our research, we aimed to identify signature genes and their immune connections in s
DataCite Commons2024-12-16 更新80
Additional file 6 of New insights into the role of mitochondrial metabolic dysregulation and immune infiltration in septic cardiomyopathy by integrated bioinformatics analysis and experimental validation
Additional file 6: Table S5. Genelist identified in the random forest algorithm.
DataCite Commons2024-08-14 更新60
Additional file 6 of New insights into the role of mitochondrial metabolic dysregulation and immune infiltration in septic cardiomyopathy by integrated bioinformatics analysis and experimental validation
Additional file 6: Table S5. Genelist identified in the random forest algorithm.
DataCite Commons2024-08-14 更新40
Additional file 4 of New insights into the role of mitochondrial metabolic dysregulation and immune infiltration in septic cardiomyopathy by integrated bioinformatics analysis and experimental validation
Additional file 4: Table S3. Genelist identified in the support vector machine-recursive feature elimination (SVM-RFE) algorithm.
DataCite Commons2024-08-14 更新80
Additional file 2 of New insights into the role of mitochondrial metabolic dysregulation and immune infiltration in septic cardiomyopathy by integrated bioinformatics analysis and experimental validation
Additional file 2: Table S1. Differentially expressed genes between healthy control individuals and patients with SCM.
DataCite Commons2024-08-14 更新60
