Fig. 4
From: Block network mapping approach to quantitative trait locus analysis
Power and FDR as a function of Effect Size. Power and FDR of the BNM algorithm (blue) and IM from the R/qtl package (red) with increasing effect sizes. Each point corresponds to the Power (a-c) or FDR (d-f) within a group of 4000 data points with an average effect size in the x-axis. We show the power and FDR at three P-value (for IM) and R-value (for BNM) thresholds: 0.001 and 0.146 (a, d), 0.03 and 0.322 (b, e), and 0.05 and 0.383 (c, f). These P-value, R-value pairs are matched so that they have the same FDR averaged over all points (see Additional file 1: Figure S2)