MIST: Maximum Information Spanning Trees for dimension reduction of biological data sets

@article{King2009MISTMI,
  title={MIST: Maximum Information Spanning Trees for dimension reduction of biological data sets},
  author={Bracken M. King and Bruce Tidor},
  journal={Bioinformatics},
  year={2009},
  volume={25 9},
  pages={
          1165-72
        }
}
MOTIVATION The study of complex biological relationships is aided by large and high-dimensional data sets whose analysis often involves dimension reduction to highlight representative or informative directions of variation. In principle, information theory provides a general framework for quantifying complex statistical relationships for dimension reduction. Unfortunately, direct estimation of high-dimensional information theoretic quantities, such as entropy and mutual information (MI), is… CONTINUE READING
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