Analysis of potential genetic biomarkers using machine learning methods and immune infiltration regulatory mechanisms underlying atrial fibrillation
Abstract Objective We aimed to screen out biomarkers for atrial fibrillation (AF) based on machine learning methods and evaluate the degree of immune infiltration in AF patients in detail. Methods Two datasets (GSE41177 and GSE79768) related to AF were downloaded from Gene expression omnibus (GEO) d...
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| Main Authors: | , , , , , |
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| Format: | Book |
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BMC,
2022-03-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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Internet
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |