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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...
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| Pubblicato in: | BMC Med Genomics |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4721143/ https://ncbi.nlm.nih.gov/pubmed/26792494 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12920-016-0165-x |
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