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Integrative Transcriptomic Analysis and Machine Learning Identify Robust Gene Expression Signatures for Cardiovascular Disease Classification

2026-08-05

Abstract excerpt

<title>Abstract</title> <p>BACKGROUND: Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide and contribute substantially to the global health burden. Early diagnosis and the identification of reliable molecular biomarkers are critical for improving disease prognosis and guiding therapeutic strategies. Recent advances in high-throughput transcriptomic technologies, along with integrative...

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Literature Corpus work
59f3a57c-429b-501f-ae31-2df104b29bf8
DOI
10.21203/rs.3.rs-9326952/v1
Open publication

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Integrative Transcriptomic Analysis and Machine Learning Identify Robust Gene Expression Signatures for Cardiovascular Disease ClassificationDOI 10.21203/rs.3.rs-9326952/v1
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