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SAMA: A Fast Self-Adaptive Memetic Algorithm for Detecting SNP-SNP Interactions Associated with Disease
Detecting SNP-SNP interactions associated with disease is significant in genome-wide association study (GWAS). Owing to intensive computational burden and diversity of disease models, existing methods have drawbacks on low detection power and long running time. To tackle these drawbacks, a fast self...
Autores principales: | Yin, Ying, Guan, Boxin, Zhao, Yuhai, Li, Yuan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7468611/ https://www.ncbi.nlm.nih.gov/pubmed/32908899 http://dx.doi.org/10.1155/2020/5610658 |
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