MetaClustering: discovery of the different sample clusterings in gene expression data.

@article{Venet2006MetaClusteringDO,
  title={MetaClustering: discovery of the different sample clusterings in gene expression data.},
  author={David Venet and Hugues Bersini and Hitoshi Iba},
  journal={Genome informatics. International Conference on Genome Informatics},
  year={2006},
  volume={17 2},
  pages={172-83}
}
Clustering of the samples is a standard procedure for the analysis of gene expression data, for instance to discover cancer subtypes. However, more than one biologically meaningful clustering can exist, depending on the genes chosen. We propose here to group the genes in function of the clustering of the samples they fit. This allows to determine directly the different clusterings of the samples present in the data. As a clustering is a structure, genes belonging to the same group are functions… CONTINUE READING