Edge Principal Components and Squash Clustering: Using the Special Structure of Phylogenetic Placement Data for Sample Comparison

@article{Iv2013EdgePC,
  title={Edge Principal Components and Squash Clustering: Using the Special Structure of Phylogenetic Placement Data for Sample Comparison},
  author={Frederick A Matsen Iv and S. Evans},
  journal={PLoS ONE},
  year={2013},
  volume={8}
}
  • Frederick A Matsen Iv, S. Evans
  • Published 2013
  • Mathematics, Medicine, Biology
  • PLoS ONE
  • Principal components analysis (PCA) and hierarchical clustering are two of the most heavily used techniques for analyzing the differences between nucleic acid sequence samples taken from a given environment. They have led to many insights regarding the structure of microbial communities. We have developed two new complementary methods that leverage how this microbial community data sits on a phylogenetic tree. Edge principal components analysis enables the detection of important differences… CONTINUE READING
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