Cluster inference methods and graphical models evaluated on NCI60 microarray gene expression data.

@article{Waddell2000ClusterIM,
  title={Cluster inference methods and graphical models evaluated on NCI60 microarray gene expression data.},
  author={Peter J. Waddell and Hirohisa Kishino},
  journal={Genome informatics. Workshop on Genome Informatics},
  year={2000},
  volume={11},
  pages={
          129-40
        }
}
At present, there is a lack of a sound methodology to infer causal gene expression relationships on a genome wide basis. We address this first by examining the behaviour of some of the latest and fastest algorithms for tree and cluster analysis, particularly hierarchical methods popular in phylogenetics. Combined with these are two novel distances based on partial, rather than full, correlations. Theoretically, partial correlations should provide better evidence for regulatory genetic links… CONTINUE READING

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