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Fig. 2 | BMC Systems Biology

Fig. 2

From: Integrative modeling of multi-omics data to identify cancer drivers and infer patient-specific gene activity

Fig. 2

Gene activity scores and inferred GoF/LoF status using Fuzzy Logic Modeling. a Distribution of GoF and LoF activity scores across all genes and all samples. b For each gene that presents mutations in CCLE (more than 1 % of the samples), two scores are computed (GoF and LoF gene score). GoF gene score is computed as the percentage of mutated samples with G o F>|L O F|. LoF gene score is computed as the percentage of mutated samples with |L o F|>G o F. A gene is classified as GoF (oncogene) if the GoF gene score is >50 % or as LoF (tumor suppressor) if the LoF gene score is >50 %. c Known oncogenes [3] were correctly predicted by our method with an accuracy of 90 % (19/21). d Known oncogenes [3] were correctly predicted by our method with an accuracy of 86 % (18/21). Note that the known oncogenes and tumor suppressors were restricted to those that were found to be mutated in the CCLE at >1 % frequency

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