Non-parametric genetic prediction of complex traits with latent Dirichlet process regression models

Genetic prediction of complex traits with polygenic architecture has wide application from animal breeding to disease prevention. Here, Zeng and Zhou develop a non-parametric genetic prediction method based on latent Dirichlet Process regression models.

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Autores principales: Ping Zeng, Xiang Zhou
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/8859acd6efc645b699dcf8c04c6481c5
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