Fig 1.
Prediction accuracy for starvation resistance.
Prediction accuracy of 25 replicates in females (A) and males (B) for all standard methods. Methods are colored by family, where dimension reduction (blue), penalized regression (cyan), Bayesian regression (lime), linear mixed model (orange), and machine learning methods (red) are ordered from left to right. The mean correlation coefficient is denoted by diamonds. Outliers are denoted by circles.
Fig 2.
Prediction accuracy for starvation resistance using GO terms.
Prediction accuracy in the two sexes using GO-BayesC (A for females, C for males) and GO-TBLUP (B for females, D for males). Each dot represents the mean correlation between true and predicted phenotypes (r) across 25 replicates for a GO term. The solid line indicates the mean r from the respective standard method (i.e., BayesC and TBLUP). The dashed black line represents the 99th percentile of terms ranked by prediction accuracy.
Fig 3.
Correlation of prediction accuracy of GO-annotated methods for starvation resistance.
Prediction accuracy for all GO terms of GO-BayesC (x-axis) against GO-TBLUP (y-axis) for females (A) and males (B). The black line represents the line of least squares fit for each panel.
Table 1.
Most frequent genes across the top 1% of GO terms for starvation resistance.