Supplementary Figure 15: QQ plots when applying NetSig to regulatory networks | Nature Methods

Supplementary Figure 15: QQ plots when applying NetSig to regulatory networks

From: NetSig: network-based discovery from cancer genomes

Supplementary Figure 15

To corroborate the results from Supplementary Figure 13, we also ran NetSig on a collection of regulatory networks from Marbach et al. 2016. The average genomic inflation factor (lambda) is 1.11. Since these networks are based on genome-scale transcriptional data ‘knowledge contamination’ cannot be a factor here and the genomic inflation factor is most likely due to the polygenic nature of cancers.

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