Rare Variants Detection with Kernel Machine Learning Based on Likelihood Ratio Test

This paper mainly utilizes likelihood-based tests to detect rare variants associated with a continuous phenotype under the framework of kernel machine learning. Both the likelihood ratio test (LRT) and the restricted likelihood ratio test (ReLRT) are investigated. The relationship between the kernel...

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Detalles Bibliográficos
Autores principales: Zeng, Ping, Zhao, Yang, Zhang, Liwei, Huang, Shuiping, Chen, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3968153/
https://www.ncbi.nlm.nih.gov/pubmed/24675868
http://dx.doi.org/10.1371/journal.pone.0093355

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3968153/
https://www.ncbi.nlm.nih.gov/pubmed/24675868
http://dx.doi.org/10.1371/journal.pone.0093355

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