Predicting diagnostic immune-related gene biomarkers in the development of heart failure after acute myocardial infarction: Bioinformatics based approaches
Abstract:Objective: Post-myocardial infarction(MI) heart failure (HF) is regarded as a public health concern; however, effective biomarkers for predicting HF are still lacking. This study aimed to identy novel biomarkers for forecasting long-term HFin AMI patients.
Methods: The GSE59867 dataset was downloaded from the Gene Expression Omnibus (GEO) database, and then differentially expressed genes (DEGs) were identified with the criteria of p-value<0.05 and |log2FC|>0.5. Protein-protein interaction (PPI) network w… Show more
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