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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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Mol Med Rep
Egile nagusia: Yang, Xiaoqiang
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: D.A. Spandidos 2018
Gaiak:
Sarrera elektronikoa: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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