Identification of Post-myocardial Infarction Blood Expression Signatures Using Multiple Feature Selection Strategies.

ABSTRACT: Myocardial infarction (MI) is a type of serious heart attack in which the blood flow to the heart is suddenly interrupted, resulting in injury to the heart muscles due to a lack of oxygen supply. Although clinical diagnosis methods can be used to identify the occurrence of MI, using the changes of molecular markers or characteristic molecules in blood to characterize the early phase and later trend of MI will help us choose a more reasonable treatment plan. Previously, comparative transcriptome studies focused on finding differentially expressed genes between MI patients and healthy people. However, signature molecules altered in different phases of MI have not been well excavated. We developed a set of computational approaches integrating multiple machine learning algorithms, including Mo

SUBMITTER: Li M 

PROVIDER: S-EPMC7287215 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature