2021
DOI: 10.3390/cells10123268
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Deep Learning Analyses to Delineate the Molecular Remodeling Process after Myocardial Infarction

Abstract: Specific proteins and processes have been identified in post-myocardial infarction (MI) pathological remodeling, but a comprehensive understanding of the complete molecular evolution is lacking. We generated microarray data from swine heart biopsies at baseline and 6, 30, and 45 days after infarction to feed machine-learning algorithms. We cross-validated the results using available clinical and experimental information. MI progression was accompanied by the regulation of adipogenesis, fatty acid metabolism, a… Show more

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