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A novel hypergraph model for identifying and prioritizing personalized drivers in cancer

Fig 4

The performance of PDRWH and other four methods for identifying the known tumor-specific driver genes.

(A) The percentage of patients whose predicted personalized drivers are significantly enriched in the known tumor-specific driver gene list. (B) Comparison of the number of predicted tumor-specific driver genes by various methods and the recall ratio. (C) Overlap among the tumor-specific cancer drivers predicted by different methods for BRCA, KIRC, and LIHC.

Fig 4

doi: https://doi.org/10.1371/journal.pcbi.1012068.g004