Genomic selection using regularized linear regression models: ridge regression, lasso, elastic net and their extensions
نویسندگان
چکیده
منابع مشابه
Genomic selection using regularized linear regression models: ridge regression, lasso, elastic net and their extensions
BACKGROUND Genomic selection (GS) is emerging as an efficient and cost-effective method for estimating breeding values using molecular markers distributed over the entire genome. In essence, it involves estimating the simultaneous effects of all genes or chromosomal segments and combining the estimates to predict the total genomic breeding value (GEBV). Accurate prediction of GEBVs is a central...
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ژورنال
عنوان ژورنال: BMC Proceedings
سال: 2012
ISSN: 1753-6561
DOI: 10.1186/1753-6561-6-s2-s10