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Fig. 2 | BMC Bioinformatics

Fig. 2

From: Integrated genomic analysis of biological gene sets with applications in lung cancer prognosis

Fig. 2

Internal 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

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