Detecting Cancer Outlier Genes with Potential Rearrangement Using Gene Expression Data and Biological Networks

Figure 3

Evaluation of EigFusion performance on synthetic and real cancer data, AUC values are used to assess the performance of fusion gene detection methods. We used the (a) positive FDR (PFDR) and (b) negative FDR (NFDR) to assess FDR of each method under different cancer samples proportions. EigFusion showed to have zero FDR and f-measure value of 1. (c) We further assess the performance of the methods on real cancer data. We used Singh prostate cancer data with embedded test genes with different cancer proportions. We assessed the performance of each method based on their ability to identify test₁₀ and test₂₀ test genes.

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