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Assessing models for genetic prediction of complex traits: a comparison of visualization and quantitative methods
BACKGROUND: In silico models have recently been created in order to predict which genetic variants are more likely to contribute to the risk of a complex trait given their functional characteristics. However, there has been no comprehensive review as to which type of predictive accuracy measures and...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2015
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4440290/ https://www.ncbi.nlm.nih.gov/pubmed/25997848 http://dx.doi.org/10.1186/s12864-015-1616-z |