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Risk gene identification and support vector machine learning to construct an early diagnosis model of myocardial infarction

The present study aimed to identify genes associated with increased risk of myocardial infarction (MI) and construct an early diagnosis model based on support vector machine (SVM) learning. The gene expression profile data of GSE34198, containing 97 human blood samples including 49 patients with MI...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:Mol Med Rep
Main Authors: Fang, Hong-Zhi, Hu, Dan-Li, Li, Qin, Tu, Su
Format: Artigo
Jezik:Inglês
Izdano: D.A. Spandidos 2020
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC7411293/
https://ncbi.nlm.nih.gov/pubmed/32705275
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3892/mmr.2020.11247
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