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10.1097/MD.0000000000007741

http://scihub22266oqcxt.onion/10.1097/MD.0000000000007741
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C5662349!5662349!29049183
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suck abstract from ncbi


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pmid29049183      Medicine+(Baltimore) 2017 ; 96 (42): ä
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  • Identifying key genes associated with acute myocardial infarction #MMPMID29049183
  • Cheng M; An S; Li J
  • Medicine (Baltimore) 2017[Oct]; 96 (42): ä PMID29049183show ga
  • Background:: This study aimed to identify key genes associated with acute myocardial infarction (AMI) by reanalyzing microarray data. Methods:: Three gene expression profile datasets GSE66360, GSE34198, and GSE48060 were downloaded from GEO database. After data preprocessing, genes without heterogeneity across different platforms were subjected to differential expression analysis between the AMI group and the control group using metaDE package. P?
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