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KNN-MDR: a learning approach for improving interactions mapping performances in genome wide association studies
BACKGROUND: Finding epistatic interactions in large association studies like genome-wide association studies (GWAS) with the nowadays-available large volume of genomic data is a challenging and largely unsolved issue. Few previous studies could handle genome-wide data due to the intractable difficul...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5361736/ https://www.ncbi.nlm.nih.gov/pubmed/28327091 http://dx.doi.org/10.1186/s12859-017-1599-7 |