Cargando…
Use of partial least squares regression to impute SNP genotypes in Italian Cattle breeds
BACKGROUND: The objective of the present study was to test the ability of the partial least squares regression technique to impute genotypes from low density single nucleotide polymorphisms (SNP) panels i.e. 3K or 7K to a high density panel with 50K SNP. No pedigree information was used. METHODS: Da...
Autores principales: | Dimauro, Corrado, Cellesi, Massimo, Gaspa, Giustino, Ajmone-Marsan, Paolo, Steri, Roberto, Marras, Gabriele, Macciotta, Nicolò PP |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3716726/ https://www.ncbi.nlm.nih.gov/pubmed/23738947 http://dx.doi.org/10.1186/1297-9686-45-15 |
Ejemplares similares
-
Detection of selection signatures in Piemontese and Marchigiana cattle, two breeds with similar production aptitudes but different selection histories
por: Sorbolini, Silvia, et al.
Publicado: (2015) -
Use of canonical discriminant analysis to study signatures of selection in cattle
por: Sorbolini, Silvia, et al.
Publicado: (2016) -
Prediction of Milk Coagulation Properties and Individual Cheese Yield in Sheep Using Partial Least Squares Regression
por: Cellesi, Massimo, et al.
Publicado: (2019) -
Pre-selection of most significant SNPS for the estimation of genomic breeding values
por: Macciotta, Nicolò PP, et al.
Publicado: (2009) -
Use of the Multivariate Discriminant Analysis for Genome-Wide Association Studies in Cattle
por: Manca, Elisabetta, et al.
Publicado: (2020)