Estimating mutual information using B-spline functions – an improved similarity measure for analysing gene expression data

@article{Daub2003EstimatingMI,
  title={Estimating mutual information using B-spline functions – an improved similarity measure for analysing gene expression data},
  author={Carsten O. Daub and Ralf Steuer and Joachim Selbig and Sebastian Kloska},
  journal={BMC Bioinformatics},
  year={2003},
  volume={5},
  pages={118 - 118}
}
The information theoretic concept of mutual information provides a general framework to evaluate dependencies between variables. In the context of the clustering of genes with similar patterns of expression it has been suggested as a general quantity of similarity to extend commonly used linear measures. Since mutual information is defined in terms of discrete variables, its application to continuous data requires the use of binning procedures, which can lead to significant numerical errors for… CONTINUE READING
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