Sparse Family and Selection Index
Description
Here we provide tools for the estimation of coefficients in
penalized regressions when the (co)variance matrix of predictors
and the covariance vector between predictors and response, are
provided. These methods are extended to the context of a Selection Index
(commonly used for breeding value prediction). The approaches offer
opportunities such as the integration of high-throughput traits in genetic
evaluations ('Lopez-Cruz et al., 2020')
and solutions for training set optimization in Genomic Prediction
('Lopez-Cruz & de los Campos, 2021') .
