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Identification of key genes and regulatory networks associated with atherosclerotic carotid artery stenosis through comprehensive bioinformatics analysis and machine learning

2025-08-11

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<title>Abstract</title> <p> <bold>Objective:</bold> A comprehensive bioinformatics analysis was conducted to identify key genes and regulatory networks associated with atherosclerotic carotid artery stenosis (ACAS). <bold>Methods:</bold> Four datasets, including GSE43292, GSE100927, GSE28829, and GSE198600, were integrated to form the training set, with the GSE163154 dataset serving as the validation set. Sub...

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Literature Corpus work
81dd251a-a919-5376-a4e7-90c9accbb2cb
DOI
10.21203/rs.3.rs-7112702/v1
Open publication

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Identification of key genes and regulatory networks associated with atherosclerotic carotid artery stenosis through comprehensive bioinformatics analysis and machine learningDOI 10.21203/rs.3.rs-7112702/v1
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