Fig. 2
From: Adaptive Fisher method detects dense and sparse signals in association analysis of SNV sets
![Fig. 2](http://media.springernature.com/full/springer-static/image/art%3A10.1186%2Fs12920-020-0684-3/MediaObjects/12920_2020_684_Fig2_HTML.png)
Power curves for continuous trait. Comparison of empirical powers for continuous trait. a Power against varying number of loci K in the dense scenario with effect proportion π=20% and effect size δ=0.1. K∈{50,100,...,450,500}. b Power against varying number of loci K in the sparse scenario with effect proportion π=2% and effect size δ=0.5. K∈{50,100,...,450,500}