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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...

詳細記述

保存先:
書誌詳細
出版年:Mol Med Rep
第一著者: Yang, Xiaoqiang
フォーマット: Artigo
言語:Inglês
出版事項: D.A. Spandidos 2018
主題:
オンライン・アクセス: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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