D: Genomic dominant relationship matrix for the Jersey dataset.
In brnn: Bayesian Regularization for Feed-Forward Neural Networks
D R Documentation
Genomic dominant relationship matrix for the Jersey dataset.
Description
This matrix was calculated by using the dominance incidence matrix derived from 33,267 Single Nucleotide
Polymorphisms (SNPs) information on 297 individually cows,
D=\frac{X_d X_d'}{2 \sum_{j=1}^p (p_j^2+q_j^2) p_j q_j},
where
X_d is the design matrix for allele substitution effects for dominance.
p_j is the frecuency of the second allele at locus j and q_j=1-p_j.
Source
University of Wisconsin at Madison, USA.
brnn documentation built on Nov. 10, 2023, 9:08 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| D | R Documentation |
Genomic dominant relationship matrix for the Jersey dataset.
Description
This matrix was calculated by using the dominance incidence matrix derived from 33,267 Single Nucleotide Polymorphisms (SNPs) information on 297 individually cows,
D=\frac{X_d X_d'}{2 \sum_{j=1}^p (p_j^2+q_j^2) p_j q_j},
where
X_dis the design matrix for allele substitution effects for dominance.p_jis the frecuency of the second allele at locusjandq_j=1-p_j.
Source
University of Wisconsin at Madison, USA.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.