Refining penalized ridge regression : A novel method for optimizing the regularization parameter in genomic prediction.

The popularity of genomic selection as an efficient and cost-effective approach to estimate breeding values continues to increase, due in part to the significant saving in phenotyping. Ridge regression is one of the most popular methods used for genomic prediction; however, its efficiency (in terms...

Popoln opis

Bibliografske podrobnosti

Glavni avtor:	Montesinos-López, Abelardo (author)
Drugi avtorji:	Montesinos-López, Osval A. (author), Lecumberry, Federico (author), Fariello, Maria Ines (author), Montesinos-López, José C. (author), Crossa, José (author)
Format:	article
Jezik:	angleščina
Izdano:	2024
Teme:	Ridge regression Genomic prediction GenPred Shared Data Resource Plant breeding Breeding values Penalized regression
Online dostop:	https://academic.oup.com/g3journal/advance-article/doi/10.1093/g3journal/jkae246/7888815 https://hdl.handle.net/20.500.12008/46936
Oznake:	Označite Brez oznak, prvi označite!