Edge principal components and squash clustering: using the special structure of phylogenetic placement data for sample comparison

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 dev...

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