GREAT: GRaphlet Edge-based network AlignmenT

@article{Crawford2015GREATGE,
  title={GREAT: GRaphlet Edge-based network AlignmenT},
  author={Joseph Crawford and Tijana Milenkovix0107},
  journal={2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
  year={2015},
  pages={220-227}
}
Network alignment aims to find regions of topological or functional similarities between networks. In computational biology, it can be used to transfer biological knowledge from a well-studied species to a poorly-studied species between aligned network regions. Typically, existing network aligners first compute similarities between nodes in different networks (via a node cost function) and then aim to find a high-scoring alignment (node mapping between the networks) with respect to “node… CONTINUE READING

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Milenkovi. Magna: Maximizing accuracy in global network

  • Vikram Saraph, Tijana
  • alignment. Bioinformatics,
  • 2014
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