Machine learning screening of autophagy genes in atherosclerotic vulnerable plaques and association analysis with immune infiltration characteristics

Cai Jiaqi; Chen Songfa

doi:10.3969/j.issn.1009-816x.2025.06.003

Prevention and Treatment of Cardio-Cerebral-Vascular Disease, Volume. 25, Issue 6, 7(2025)

Machine learning screening of autophagy genes in atherosclerotic vulnerable plaques and association analysis with immune infiltration characteristics

Cai Jiaqi¹ and Chen Songfa^2、*

Author Affiliations

¹Department of Neurology, the First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou 510080, China

²Department of Neurology, Liwan Central Hospital of Guangzhou, Guangzhou 510145, China

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Cai Jiaqi, Chen Songfa. Machine learning screening of autophagy genes in atherosclerotic vulnerable plaques and association analysis with immune infiltration characteristics[J]. Prevention and Treatment of Cardio-Cerebral-Vascular Disease, 2025, 25(6): 7

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Paper Information

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Received: Jul. 4, 2024

Accepted: Aug. 25, 2025

Published Online: Aug. 25, 2025

The Author Email: Chen Songfa (956793182@qq.com)

DOI:10.3969/j.issn.1009-816x.2025.06.003

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