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.
Inglese
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]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/46913
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 7
  • ???jsp.display-item.citation.isi??? 7
social impact