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Imputing Phylogenetic Trees Using Tropical Polytopes over the Space of Phylogenetic Trees

Author

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  • Ruriko Yoshida

    (Naval Postgraduate School, Monterey, CA 93943-5219, USA)

Abstract

When we apply comparative phylogenetic analyses to genome data, it poses a significant problem and challenge that some of the given species (or taxa) often have missing genes (i.e., data). In such a case, we have to impute a missing part of a gene tree from a sample of gene trees. In this short paper, we propose a novel method to infer the missing part of a phylogenetic tree using an analogue of a classical linear regression in the setting of tropical geometry. In our approach, we consider a tropical polytope, a convex hull with respect to the tropical metric closest to the data points. We show a condition that we can guarantee that an estimated tree from the method has at most a Robinson–Foulds (RF) distance of four from the ground truth, and computational experiments with simulated data and empirical data from Clavicipitaceae, which contains more than 4000 genes, show the method works well.

Suggested Citation

  • Ruriko Yoshida, 2023. "Imputing Phylogenetic Trees Using Tropical Polytopes over the Space of Phylogenetic Trees," Mathematics, MDPI, vol. 11(15), pages 1-10, August.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:15:p:3419-:d:1211538
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    References listed on IDEAS

    as
    1. Ruriko Yoshida, 2021. "Tropical Balls and Its Applications to K Nearest Neighbor over the Space of Phylogenetic Trees," Mathematics, MDPI, vol. 9(7), pages 1-14, April.
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