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Identification of risk genes associated with myocardial infarction based on the recursive feature elimination algorithm and support vector machine classifier

The aim of the present study was to identify risk genes in myocardial infarction. Microarray data GSE34198, containing data from the peripheral blood of 49 myocardial infarction samples and 48 corresponding control samples, were downloaded from the Gene Expression Omnibus database to screen the diff...

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Detalles Bibliográficos
Autor principal:	Yang, Xiaoqiang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	D.A. Spandidos 2018
Materias:	Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5780094/ https://www.ncbi.nlm.nih.gov/pubmed/29138828 http://dx.doi.org/10.3892/mmr.2017.8044

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