A combinatorial method for connecting BHV spaces representing different numbers of taxa
Yingying Ren, Sihan Zha, Jingwen Bi, Jos\'e A. Sanchez, Cara Monical,, Michelle Delcourt, Rosemary K. Guzman, and Ruth Davidson

TL;DR
This paper introduces a combinatorial approach to connect BHV tree spaces of different dimensions, enabling the comparison and integration of phylogenetic trees with varying numbers of taxa within a unified framework.
Contribution
It presents a novel combinatorial method for transitioning between BHV tree spaces of different maximal dimensions, facilitating tree comparison and consensus methods.
Findings
Enables transition between BHV spaces with different taxa counts
Removes obstacles for embedding problems like supertree and consensus
Supports integration of trees with varying numbers of taxa
Abstract
The phylogenetic tree space introduced by Billera, Holmes, and Vogtmann (BHV tree space) is a CAT(0) continuous space that represents trees with edge weights with an intrinsic geodesic distance measure. The geodesic distance measure unique to BHV tree space is well known to be computable in polynomial time, which makes it a potentially powerful tool for optimization problems in phylogenetics and phylogenomics. Specifically, there is significant interest in comparing and combining phylogenetic trees. For example, BHV tree space has been shown to be potentially useful in tree summary and consensus methods, which require combining trees with different number of leaves. Yet an open problem is to transition between BHV tree spaces of different maximal dimension, where each maximal dimension corresponds to the complete set of edge-weighted trees with a fixed number of leaves. We show a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGenomics and Phylogenetic Studies · Evolution and Paleontology Studies · Genetic diversity and population structure
