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Figure 6 | BioData Mining

Figure 6

From: Differential co-expression network centrality and machine learning feature selection for identifying susceptibility hubs in networks with scale-free structure

Figure 6

Comparison of true positive and false positive rates to detect the 10% of genes involved in differential co-expression in Erdos-Renyi networks in 100 replicate simulated data sets for increasing correlation noise (standard deviation) in the network. True positive rates are on top panels and false positive rates are on bottom panels. Sample sizes are M = 20 (left panels) and M = 40 (right panels). We determine the significance thresholds for Relief-F, Random Forest, reGAIN centrality and dcGAIN centrality with Gaussian mixture modeling (GMM).

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BioData Mining

ISSN: 1756-0381