• DOI:10.1371/journal.pone.0056859
Corpus ID: 415223

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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