Genomic selection using regularized linear regression models: ridge regression, lasso, elastic net and their extensions

BACKGROUND: Genomic selection (GS) is emerging as an efficient and cost-effective method for estimating breeding values using molecular markers distributed over the entire genome. In essence, it involves estimating the simultaneous effects of all genes or chromosomal segments and combining the estim...

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Detalles Bibliográficos
Autores principales: Ogutu, Joseph O, Schulz-Streeck, Torben, Piepho, Hans-Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3363152/
https://www.ncbi.nlm.nih.gov/pubmed/22640436
http://dx.doi.org/10.1186/1753-6561-6-S2-S10

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3363152/
https://www.ncbi.nlm.nih.gov/pubmed/22640436
http://dx.doi.org/10.1186/1753-6561-6-S2-S10

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