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Fig. 6 | BMC Bioinformatics

Fig. 6

From: Block network mapping approach to quantitative trait locus analysis

Fig. 6

Power and FDR as a function of Sample 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 2000 data points with an average effect size in the x-axis. We show the power and FDR at P-value = 0.05 (for IM) and the matching BNM R-value such that IM and BNM have the same FDR averaged over all points (see Fig. 7). In (a,d) we use all the mice (Nmice = 742) and three samples of 500 phenotypes from the 1000 simulated phenotypes; the FDR matching R-value = 0.362 (see Fig. 7 a). In (b, e) we use three samples of randomly selected 600 mice out of the 742 mice available; the FDR matching R-value = 0.492 (see Fig. 7 b). In (c, f) we use three samples of randomly selected 400 mice out of the 742 mice available; the FDR matching R-value = 0.281 (see Fig. 7 c). The plots are the means over the three samples in each case, and the errorbars are the standard deviations from the mean in each case

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