Identification of key proteins and pathways in myocardial infarction using machine learning approaches

Identification of key proteins and pathways in myocardial infarction using machine learning approaches

Abstract Acute myocardial infarction (AMI) is a leading cause of global morbidity and mortality, requiring deeper insights into its molecular mechanisms for improved diagnosis and treatment. This study combines proteomics, transcriptomics and machine learning (ML) to identify key proteins and pathwa...

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Bibliographic Details
Main Authors: Chang Liu, Xing Zhang, Qian Xie, Binbin Fang, Fen Liu, Junyi Luo, Gulandanmu Aihemaiti, Wei Ji, Yining Yang, Xiaomei Li
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
Acute myocardial infarction
Proteomics
Functional enrichment analysis
Machine learning
Single-cell sequencing
Online Access:https://doi.org/10.1038/s41598-025-04401-w
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https://doi.org/10.1038/s41598-025-04401-w

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