Figure 5. Examples of predictions for genes with large training R² improvement when integrating genomic features.

Shown are the 8 genes for which the KNN algorithm that integrated genomic features resulted in the greatest R² improvement in the training data as compared to the basic KNN algorithm. Each plot shows the expression predictions on the test data (x-axis) versus the measured expression values (y-axis), where every dot represents one of the 210 individuals. The regression curve for each plot is also shown (red curve) along with the gene name, and training and test R² values.