Figures
Longitudinal tree-aware methods for multidomain data.
Microbiome data exhibit rich temporal and phylogenetic structure especially following perturbations. The leaves of the central phylogenetic tree correspond to individual bacterial species, while the lines that radiate out from it represent their abundances over time. Color gives a sense of phylogenetic relationships, while the heights of bars at the base of these lines corresponds to the coefficients of a tree-aware discriminant analysis (treeDA) applied to a study of a perturbation of the human gut microbiome. Fukuyama et al.
Image Credit: Fukuyama et al.
Citation: (2017) PLoS Computational Biology Issue Image | Vol. 13(8) August 2017. PLoS Comput Biol 13(8): ev13.i08. https://doi.org/10.1371/image.pcbi.v13.i08
Published: August 31, 2017
Copyright: © 2017 Fukuyama et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Microbiome data exhibit rich temporal and phylogenetic structure especially following perturbations. The leaves of the central phylogenetic tree correspond to individual bacterial species, while the lines that radiate out from it represent their abundances over time. Color gives a sense of phylogenetic relationships, while the heights of bars at the base of these lines corresponds to the coefficients of a tree-aware discriminant analysis (treeDA) applied to a study of a perturbation of the human gut microbiome. Fukuyama et al.
Image Credit: Fukuyama et al.