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...

Ful tanımlama

Detaylı Bibliyografya

Yazar:	Montesinos-López, Abelardo (author)
Diğer Yazarlar:	Montesinos-López, Osval A. (author), Lecumberry, Federico (author), Fariello, Maria Ines (author), Montesinos-López, José C. (author), Crossa, José (author)
Materyal Türü:	article
Dil:	İngilizce
Baskı/Yayın Bilgisi:	2024
Konular:	Ridge regression Genomic prediction GenPred Shared Data Resource Plant breeding Breeding values Penalized regression
Online Erişim:	https://academic.oup.com/g3journal/advance-article/doi/10.1093/g3journal/jkae246/7888815 https://hdl.handle.net/20.500.12008/46936
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!