Biclustering Algorithms : A Survey Amos Tanay

@inproceedings{Sharan2004BiclusteringA,
  title={Biclustering Algorithms : A Survey Amos Tanay},
  author={Roded Sharan and Ron Shamir},
  year={2004}
}
Analysis of large scale geonomics data, notably gene expression, has initially focused on clustering methods. Recently, biclustering techniques were proposed for revealing submatrices showing unique patterns. We review some of the algorithmic approaches to biclustering and discuss their properties. 

From This Paper

Figures, tables, and topics from this paper.

References

Publications referenced by this paper.
SHOWING 1-10 OF 26 REFERENCES

Probabilistic discovery of overlapping cellular processes and their regulation Similarities and differences in genome - wide expression data of six organisms

  • E. Segal Battle, D Koller
  • PLoS
  • 2004

Similarities and differences in genome-wide expression data of six organisms

  • S. Bergman, J. Ihmels, N. Barkai
  • PLoS, 2(1):E9,
  • 2004
1 Excerpt

Biclustering gene expression data by Gibbs sampling

  • Q. Sheng, Y. Moreau, B. De Moor
  • Bioinformatics, 19(Supp 2):i196–i205,
  • 2003
2 Excerpts

Similar Papers

Loading similar papers…