EXPLORING FEATURE GENES FOR ISCHEMIC STROKE BASED ON BIOINFORMATICS AND MACHINE LEARNING

H. Liu,N. Bai,S. Liu,W. Liu,Q. Zhou, H. Zhang

ATHEROSCLEROSIS（2022）

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Abstract

Background and Aims : This study aims to screen the feature genes of ischemic stroke (IS) by bioinformatics and machine learning (ML) and explore the possible pathophysiological mechanism of the genes in IS.

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Key words

ischemic stroke,feature genes,bioinformatics

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