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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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| Publicado no: | Mol Med Rep |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
D.A. Spandidos
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5780094/ https://ncbi.nlm.nih.gov/pubmed/29138828 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3892/mmr.2017.8044 |
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