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.
Dimauro, C., Cellesi, M., Gaspa, G., Ajmone Marsan, P., Steri, R., Marras, G., Macciotta, N., Use of partial least squares regression to impute SNP genotypes in Italian Cattle breeds, <<GENETICS SELECTION EVOLUTION>>, 2013; 45 (1): 15-15. [doi:10.1186/1297-9686-45-15] [http://hdl.handle.net/10807/46913]
Use of partial least squares regression to impute SNP genotypes in Italian Cattle breeds
Ajmone Marsan, Paolo;
2013
Abstract
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.
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