Fig. 2

Performance of feature selection methods on simulated data with different effect sizes and covariance structures. Signal genes were simulated to follow one of four structures: a strong effect size and uncorrelated (ρ = 0), b strong effect size and correlated (ρ = 0.6), c moderate effect size and uncorrelated, and d moderate effect size and correlated. Performance of a random forest classifier was evaluated using classification accuracy on the test set as well as the percentage of identified gene pairs that contained at least one signal gene. All simulations were performed five times and data are presented as mean ± SEM