A Bioinformatic Analysis for Identifying Key Genes in Atrial Fibrillation
Background: The most frequently occurring form of sustained cardiac arrhythmia is atrial fibrillation (AF). Research consistently shows that genetic alterations significantly influence the development and progression of AF. This study explored bioinformatic analysis and machine learning to identify key genes linked to AF.
Authors
- Yiguang Yu
- Bin Deng (ORCID: https://orcid.org/0000-0003-1804-6819)
- Xiangna Yang
- Junguo Zhang
- Ang-Xin Song (ORCID: https://orcid.org/0000-0001-6992-0006)
Institutions
- Sun Yat-sen University (CN)
- Guizhou University (CN)
- Guangzhou Women and Children Medical Center (CN)
- Guangzhou Medical University (CN)
Publication Details
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1145/3747357.3747368
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00