Statistically based postprocessing of phylogenetic analysis by clustering

@article{Stockham2002StatisticallyBP,
  title={Statistically based postprocessing of phylogenetic analysis by clustering},
  author={Cara Stockham and Li-San Wang and Tandy J. Warnow},
  journal={Bioinformatics},
  year={2002},
  volume={18 Suppl 1},
  pages={
          S285-93
        }
}
  • Cara Stockham, Li-San Wang, Tandy J. Warnow
  • Published in ISMB 2002
  • Computer Science, Medicine
  • Bioinformatics
  • MOTIVATION Phylogenetic analyses often produce thousands of candidate trees. Biologists resolve the conflict by computing the consensus of these trees. Single-tree consensus as postprocessing methods can be unsatisfactory due to their inherent limitations. RESULTS In this paper we present an alternative approach by using clustering algorithms on the set of candidate trees. We propose bicriterion problems, in particular using the concept of information loss, and new consensus trees called… CONTINUE READING

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