has part
has_specified_input
has_specified_output
achieves_planned_objective
p-value
model parameter estimation
model parameter estimate
normal distribution
breeding value estimation
genomic selection objective
genomic estimated breeding value
Bayes R
Philippe Rocca-Serra
Erbe M, Hayes BJ, Matukumalli LK, Goswami S, Bowman PJ, Reich CM, et al. Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels. J Dairy Sci. 2012;95:4114–29
doi: 10.3168/jds.2011-5019.
https://www.ncbi.nlm.nih.gov/pubmed/22720968
Bayes R is a data transformation used in the context of estimating breeding value, which relies on a Bayesian model to compute 'genomic estimated breeding values'. In contrast to Bayes B methods, the new method assumes that the true SNP effects are derived from a series of normal distributions, the first with zero variance, up to one with a variance of approximately 1% of the genetic variance.
response variable explained by random effect of predictor variable hypothesis
ready for release