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Building a genetic risk model for bipolar disorder from genome-wide association data with random forest algorithm
A genetic risk score could be beneficial in assisting clinical diagnosis for complex diseases with high heritability. With large-scale genome-wide association (GWA) data, the current study constructed a genetic risk model with a machine learning approach for bipolar disorder (BPD). The GWA dataset o...
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| Publicado no: | Sci Rep |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5206749/ https://ncbi.nlm.nih.gov/pubmed/28045094 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep39943 |
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