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Alternative strategies for selecting subsets of predicting SNPs by LASSO-LARS procedure

BACKGROUND: The least absolute shrinkage and selection operator (LASSO) can be used to predict SNP effects. This operator has the desirable feature of including in the model only a subset of explanatory SNPs, which can be useful both in QTL detection and GWS studies. LASSO solutions can be obtained...

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Detalles Bibliográficos
Autores principales: Usai, M Graziano, Carta, Antonello, Casu, Sara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3363163/
https://www.ncbi.nlm.nih.gov/pubmed/22640825
http://dx.doi.org/10.1186/1753-6561-6-S2-S9