Comparisons of distance methods for combining covariates and abundances in microbiome studies.

  • Fukuyama J
  • McMurdie P
  • Dethlefsen L
 et al. 
  • 125

    Readers

    Mendeley users who have this article in their library.
  • 11

    Citations

    Citations of this article.

Abstract

This article compares different methods for combining abundance data, phylogenetic trees and clinical covariates in a nonparametric setting. In particular we study the output from the principal coordinates analysis on UNIFRAC and WEIGHTED UNIFRAC distances and the output from a double principal coordinate analyses DPCOA using distances computed on the phylogenetic tree. We also present power comparisons for some of the standard tests of phylogenetic signal between different types of samples. These methods are compared both on simulated and real data sets. Our study shows that DPCoA is less robust to outliers, and more robust to small noisy fluctuations around zero.

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Get full text

Authors

  • Julia Fukuyama

  • Paul J McMurdie

  • Les Dethlefsen

  • David A Relman

  • Susan Holmes

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free