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Integrative transcriptomic, proteomic, and machine learning approach to identifying feature genes of atrial fibrillation using atrial samples from patients with valvular heart disease
BACKGROUND: Atrial fibrillation (AF) is the most common arrhythmia with poorly understood mechanisms. We aimed to investigate the biological mechanism of AF and to discover feature genes by analyzing multi-omics data and by applying a machine learning approach. METHODS: At the transcriptomic level,...
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| Publicado no: | BMC Cardiovasc Disord |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7842070/ https://ncbi.nlm.nih.gov/pubmed/33509101 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12872-020-01819-0 |
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