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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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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D.A. Spandidos
2018
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| 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 |