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Comparison of automated candidate gene prediction systems using genes implicated in type 2 diabetes by genome-wide association studies
BACKGROUND: Automated candidate gene prediction systems allow geneticists to hone in on disease genes more rapidly by identifying the most probable candidate genes linked to the disease phenotypes under investigation. Here we assessed the ability of eight different candidate gene prediction systems...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2648789/ https://www.ncbi.nlm.nih.gov/pubmed/19208173 http://dx.doi.org/10.1186/1471-2105-10-S1-S69 |