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, multi-omics, and machine learning (ML) to identify key proteins and pathways associated with AMI.

ORGANISM(S): Homo Sapiens

SUBMITTER: Xiaomei Li  

PROVIDER: PXD062794 | iProX | Thu Apr 10 00:00:00 BST 2025

REPOSITORIES: iProX