Identification of nondiabetic heart failure-associated genes by bioinformatics approaches in patients with dilated ischemic cardiomyopathy

Volume: 11, Issue: 6, Pages: 2602 - 2608
Published: Apr 11, 2016
Abstract
Heart failure (HF) is a common pathological condition affecting 4% of the worldwide population. However, approaches for predicting or treating nondiabetic HF (ND‑HF) progression are insufficient. In the current study, the gene expression profile GSE26887 was analyzed, which contained samples from 5 healthy controls, 7 diabetes mellitus‑HF patients and 12 ND‑HF patients with dilated ischemic cardiomyopathy. The dataset of 5 healthy controls and...
Paper Details
Title
Identification of nondiabetic heart failure-associated genes by bioinformatics approaches in patients with dilated ischemic cardiomyopathy
Published Date
Apr 11, 2016
Volume
11
Issue
6
Pages
2602 - 2608
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