Clustering Gene Expression Data Using Graph Separators

@article{Kaba2007ClusteringGE,
  title={Clustering Gene Expression Data Using Graph Separators},
  author={Bangaly Kaba and Nicolas Pinet and Ga{\"e}lle Lelandais and Alain Sigayret and Anne Berry},
  journal={In silico biology},
  year={2007},
  volume={7 4-5},
  pages={
          433-52
        }
}
Recent work has used graphs to modelize expression data from microarray experiments, in view of partitioning the genes into clusters. In this paper, we introduce the use of a decomposition by clique separators. Our aim is to improve the classical clustering methods in two ways: first we want to allow an overlap between clusters, as this seems biologically sound, and second we want to be guided by the structure of the graph to define the number of clusters. We test this approach with a well… CONTINUE READING

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