Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies

@article{DiMaggio2008BiclusteringVO,
  title={Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies},
  author={Peter A. DiMaggio and Scott R. McAllister and Christodoulos A. Floudas and Xiao-Jiang Feng and Joshua D. Rabinowitz and Herschel A Rabitz},
  journal={BMC Bioinformatics},
  year={2008},
  volume={9},
  pages={458 - 458}
}
The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem in the analysis of gene expression data since genes may only jointly respond over a subset of conditions. Biclustering algorithms also have important applications in sample classification where, for instance, tissue samples can be classified as cancerous or normal. Many of the methods for biclustering, and clustering algorithms… CONTINUE READING
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