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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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| Published in: | Mol Med Rep |
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| Main Authors: | , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
D.A. Spandidos
2020
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| Subjects: | |
| Online Access: | 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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