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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Detalles Bibliográficos
Autores principales: Chuang, Li-Chung, Kuo, Po-Hsiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5206749/
https://www.ncbi.nlm.nih.gov/pubmed/28045094
http://dx.doi.org/10.1038/srep39943

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5206749/
https://www.ncbi.nlm.nih.gov/pubmed/28045094
http://dx.doi.org/10.1038/srep39943

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