Using 2-node hypergraph clustering coefficients to analyze disease-gene networks

@article{Gallagher2014Using2H,
  title={Using 2-node hypergraph clustering coefficients to analyze disease-gene networks},
  author={Suzanne Renick Gallagher and Micah Dombrower and Debra Goldberg},
  journal={Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics},
  year={2014}
}
Disease-gene networks are bipartite networks that connect diseases to the genes with which they are associated. Due to the absence of tools to analyze bipartite networks, however, they are usually analyzed by "projecting" the bipartite network into a unipartite one by taking one side of the bipartition as the nodes and connecting two nodes if they share a common neighbor in the bipartite network. This projection, however, loses information, such as exactly which groups of diseases share a… 
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