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Identification of Biomarkers for Acute Myocardial Infarction based on Cell Senescence Genes and Machine Learning

2023-05-11

Abstract excerpt

<h4>Background: </h4> This study aims to identify senescence-related biomarkers for ST-elevation myocardial infarction (STEMI) prognosis. <h4>Methods: </h4> RNA expression data for STEMI samples and controls were obtained from the Gene Expression Omnibus (GEO) database, and cellular senescence genes were acquired from CellAge database. Differential and overlap analyses were used to identify differentially expresse...

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Literature Corpus work
82f562bb-7b51-52f7-bdfc-9958dbf7a38e
DOI
10.21203/rs.3.rs-2892180/v1
Open publication

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Identification of Biomarkers for Acute Myocardial Infarction based on Cell Senescence Genes and Machine LearningDOI 10.21203/rs.3.rs-2892180/v1
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