Fig. 2
From: Incorporating kernelized multi-omics data improves the accuracy of genomic prediction
The predictive accuracies of MBLUP under different radios (where the ratio was set as 0.01–0.99, and the \(\boldsymbol M=\mathrm{ratio}\times\boldsymbol G+(1-\mathrm{ratio})\times\boldsymbol T\)) for four traits in the experiment population (120 cattle). The accuracies were assessed by LOO. for 120 samples, and we have 120 different training sets and 120 different test sets. And then, predictive accuracies were expressed Pearson’s correlation between 120 GEBVs and \({y}^{*}\)