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Machine learning derived risk prediction of anorexia nervosa
BACKGROUND: Anorexia nervosa (AN) is a complex psychiatric disease with a moderate to strong genetic contribution. In addition to conventional genome wide association (GWA) studies, researchers have been using machine learning methods in conjunction with genomic data to predict risk of diseases in w...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721143/ https://www.ncbi.nlm.nih.gov/pubmed/26792494 http://dx.doi.org/10.1186/s12920-016-0165-x |