Unsupervised selection of highly coexpressed and noncoexpressed genes using a consensus clustering approach.

@article{Nguyen2009UnsupervisedSO,
  title={Unsupervised selection of highly coexpressed and noncoexpressed genes using a consensus clustering approach.},
  author={Tung T. Nguyen and Richard S. Nowakowski and Ioannis P. Androulakis},
  journal={Omics : a journal of integrative biology},
  year={2009},
  volume={13 3},
  pages={
          219-37
        }
}
  • Tung T. Nguyen, Richard S. Nowakowski, Ioannis P. Androulakis
  • Published in
    Omics : a journal of…
    2009
  • Biology, Medicine
  • In this paper we explore the concept of consensus clustering to identify, within a set of differentially expressed genes, a subset of genes that are either highly coexpressed or highly noncoexpressed based on the hypothesis that this subset would serve as a better starting point for further analyses. A number of core clustering methods form the basis for the assertion of an agreement matrix (AM) characterizing the level of coexpression between any two probesets. In order to overcome the… CONTINUE READING

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