rrBLUP

rrBLUP: Ridge Regression and Other Kernels for Genomic Selection. Software for genomic prediction with the RR-BLUP mixed model. One application is to estimate marker effects by ridge regression; alternatively, BLUPs can be calculated based on an additive relationship matrix or a Gaussian kernel.

Keywords for this software

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References in zbMATH (referenced in 4 articles )

Showing results 1 to 4 of 4.
Sorted by year (citations)

  1. Orhobor, Oghenejokpeme I.; Alexandrov, Nickolai N.; King, Ross D.: Predicting Rice phenotypes with meta and multi-target learning (2020)
  2. Legarra, Andres: Comparing estimates of genetic variance across different relationship models (2016)
  3. Pérez-Elizalde, Sergio; Cuevas, Jaime; Pérez-Rodríguez, Paulino; Crossa, José: Selection of the bandwidth parameter in a Bayesian kernel regression model for genomic-enabled prediction (2015)
  4. Tempelman, Robert J.: Statistical and computational challenges in whole genome prediction and genome-wide association analyses for plant and animal breeding (2015)