Yajie Fan, Z. Yao, Tuo Han, Lixia Wang, Yiwen Wang, Congxia Wang
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The Role of Competing Endogenous RNA (ceRNA) Network in Ischemic Cardiomyopathy by Bioinformatic Analysis
Background: Ischemic cardiomyopathy (ISCM) following myocardial infarction is closely related with a poor prognosis in patients with coronary heart disease. Several researches have showed that noncoding RNAs, including long noncoding RNAs (lncRNAs) and microRNAs (miRNAs) are involved in the progression of ISCM. The aim of the present study was to explore the potential biomarkers and competing endogenous RNA (ceRNA) machenism in ISCM. Methods: Based on the open-source database, we identified differentially expressed genes (DEGs) and differentially expressed lncRNAs (DELs) between samples from ISCM patients and controls using affy and limma package in R (absolute log2 fold change ≥1 and p
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