Additional file 6.
Effect of the number of bags on RGLM predictor thinning. s This figure reports how prediction accuracy changes as variable thinning is applied to the RGLM. Results are averaged over the 100 dichotomized gene traits in the mouse adipose data set. The five rows correspond to nBags values of 20, 50, 100, 200, 500 respectively. Within each row, the two panels have the same meaning as in Figure 9.
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Song et al. BMC Bioinformatics 2013 14:5 doi:10.1186/1471-2105-14-5