Identification of feature autophagy-related genes in patients with acute myocardial infarction based on bioinformatics analyses
Author(s) -
Yajuan Du,
Enfa Zhao,
Yushun Zhang
Publication year - 2020
Publication title -
bioscience reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 77
eISSN - 1573-4935
pISSN - 0144-8463
DOI - 10.1042/bsr20200790
Subject(s) - cohort , support vector machine , receiver operating characteristic , medicine , myocardial infarction , classifier (uml) , microarray analysis techniques , artificial intelligence , oncology , machine learning , bioinformatics , gene , gene expression , computer science , biology , genetics
To identify feature autophagy-related genes (ARGs) in patients with acute myocardial infarction (AMI) and further investigate their value in the diagnosis of AMI.
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