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Fig. 3 | BMC Bioinformatics

Fig. 3

From: SEMgsa: topology-based pathway enrichment analysis with structural equation models

Fig. 3

Average statistical power on the 10 KEGG pathways grouped by method and mean signal on simulated data. Average power together with standard deviation across simulations is displayed for each method. Higher power indicates better performance. SEMgsa stands out among all with 90–100% power across simulation. NetGSA and topologyGSA get close to SEMgsa with about 75% statistical power only with differential mean level of 0.7

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