Regularized group regression methods for genomic prediction: Bridge, MCP, SCAD, group bridge, group lasso, sparse group lasso, group MCP and group SCAD

BACKGROUND: Genomic prediction is now widely recognized as an efficient, cost-effective and theoretically well-founded method for estimating breeding values using molecular markers spread over the whole genome. The prediction problem entails estimating the effects of all genes or chromosomal segment...

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Detalles Bibliográficos
Autores principales: Ogutu, Joseph O, Piepho, Hans-Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4195413/
https://www.ncbi.nlm.nih.gov/pubmed/25519521
http://dx.doi.org/10.1186/1753-6561-8-S5-S7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4195413/
https://www.ncbi.nlm.nih.gov/pubmed/25519521
http://dx.doi.org/10.1186/1753-6561-8-S5-S7

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