Article

Integrative transcriptomic, proteomic, and machine learning approach to identifying feature genes of atrial fibrillation

2020-11-11

Abstract excerpt

<h4>Background: </h4> Atrial fibrillation (AF) is the most common arrhythmia with poorly understood mechanisms. We aimed to investigate the biological mechanism of AF and to discover feature genes by analyzing multi-omics data and by applying a machine learning approach. <h4>Methods: </h4>: At the transcriptomic level, four microarray datasets (GSE41177, GSE79768, GSE115574, GSE14975) were downloaded from the Gene...

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Literature Corpus work: b9fcf480-55a8-52f3-8d8c-ebb1211ba6a9
DOI: 10.21203/rs.3.rs-104305/v1

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