Using penalized regression to predict phenotype from SNP data

BACKGROUND: In a typical genome-enabled prediction problem there are many more predictor variables than response variables. This prohibits the application of multiple linear regression, because the unique ordinary least squares estimators of the regression coefficients are not defined. To overcome t...

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Detalles Bibliográficos
Autores principales: Cherlin, Svetlana, Howey, Richard A. J., Cordell, Heather J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157193/
https://www.ncbi.nlm.nih.gov/pubmed/30275888
http://dx.doi.org/10.1186/s12919-018-0149-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157193/
https://www.ncbi.nlm.nih.gov/pubmed/30275888
http://dx.doi.org/10.1186/s12919-018-0149-2

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