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Therefore, the paper presents a unique gene prioritization algorithm to determine cancer-causing genes, integrating judiciously the complementary information acquired from two information resources. The proposed algorithm selects disease-causing genes by making the most of the necessity of selected genes and functional similarity among them. A brand new quantitative index is introduced to guage the significance of a gene. It views whether a gen
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