Identification of cancer fusion drivers using network fusion centrality

@article{Wu2013IdentificationOC,
  title={Identification of cancer fusion drivers using network fusion centrality},
  author={Chia-Chin Wu and Kalpana Kannan and Steven Lin and Laising Yen and Aleksandar Milosavljevic},
  journal={Bioinformatics},
  year={2013},
  volume={29 9},
  pages={1174-81}
}
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 prioritizing gene fusions. We first propose a domain-based fusion model built on the… CONTINUE READING
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