An effective measure for assessing the quality of biclusters

@article{Divina2012AnEM,
  title={An effective measure for assessing the quality of biclusters},
  author={Federico Divina and Beatriz Pontes and Ra{\'u}l Gir{\'a}ldez and Jes{\'u}s S. Aguilar-Ruiz},
  journal={Computers in biology and medicine},
  year={2012},
  volume={42 2},
  pages={245-56}
}
Biclustering is becoming a popular technique for the study of gene expression data. This is mainly due to the capability of biclustering to address the data using various dimensions simultaneously, as opposed to clustering, which can use only one dimension at the time. Different heuristics have been proposed in order to discover interesting biclusters in data. Such heuristics have one common characteristic: they are guided by a measure that determines the quality of biclusters. It follows that… CONTINUE READING

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
12 Extracted Citations
0 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 12 extracted citations

Similar Papers

Loading similar papers…