Comparison and evaluation of network clustering algorithms applied to genetic interaction networks.

@article{Hou2012ComparisonAE,
  title={Comparison and evaluation of network clustering algorithms applied to genetic interaction networks.},
  author={Lin Hou and Lin Wang and Arthur Berg and Minping Qian and Yun-ping Zhu and Fangting Li and Minghua Deng},
  journal={Frontiers in bioscience},
  year={2012},
  volume={4},
  pages={
          2150-61
        }
}
The goal of network clustering algorithms detect dense clusters in a network, and provide a first step towards the understanding of large scale biological networks. With numerous recent advances in biotechnologies, large-scale genetic interactions are widely available, but there is a limited understanding of which clustering algorithms may be most effective. In order to address this problem, we conducted a systematic study to compare and evaluate six clustering algorithms in analyzing genetic… 
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