Fig. 4
From: Improvement of prediction ability by integrating multi-omic datasets in barley
Plot of the first two axes of principal coordinates analysis for comparison of predicted values from different omic datasets as a single predictor based on the median of correlation-based distance across 200 five-fold cross-validation runs for the three traits, leaf angle, plant height and heading time. The omic datasets include SNP array, sequence variants (SV), deleterious sequence variants (dSV), tolerant sequence variants (tSV), gene expression in seedling and leaf (GE s and GE l), transcript expression in seedling and leaf (TE s and TE l), expression presence/absence variation in seedling, leaf and combining both tissues (ePAV s, ePAV l, and ePAV ls), and metabolites (M). The colors show the four groups of omic datasets used in a grid search for integration of multiple predictors (Figure 5). Red represents ePAV, green expression, blue metabolite, and purple SNP and SV predictors