Fig. 2From: Integrated genomic analysis of biological gene sets with applications in lung cancer prognosisInternal power simulations across various disease-model settings for moderately sized gene sets. Power performance is shown for a gene set of size 50 with a 20% causal risk signal proportion of genes under the disease model settings where all causal genes contribute to disease via a methylation effect only (M); b methylation and mRNA expression effect (MG); c methylation, mRNA expression, and their interactive effects (MGC); d equal mixtures of M, MG, and MGC. κ on the x-axis denotes the coefficient multiplier for each of the effects β M , β MG , and β MGC Back to article page