Article
Identification of cancer fusion drivers using network fusion centrality.
Bioinformatics (Oxford, England) - 1 May 2013
Wu Chia-Chin, Kannan Kalpana, Lin Steven, Yen Laising, Milosavljevic Aleksandar
Abstract excerpt
SUMMARY: Gene fusions are being discovered at an increasing rate using massively parallel sequencing technologies. Prioritization of cancer fusion drivers for validation cannot be performed using traditional single-gene based methods because fusions involve portions of two partner genes. To address this problem, we propose a novel network analysis method called fusion centrality that is specifically tailored for...
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