Lie Markov models with purine/pyrimidine symmetry
Jes\'us Fern\'andez-S\'anchez, Jeremy G. Sumner, Peter D. Jarvis, and, Michael D. Woodhams

TL;DR
This paper develops a hierarchy of Lie Markov models with purine/pyrimidine symmetry for phylogenetics, integrating Lie group theory with stochastic processes to better model nucleotide evolution.
Contribution
It derives the complete hierarchy of Lie Markov models respecting purine/pyrimidine symmetry, advancing the mathematical framework for phylogenetic models.
Findings
Complete hierarchy of models with purine/pyrimidine symmetry
Analysis of Lie group methods in stochastic context
Geometric embedding of rate matrices
Abstract
Continuous-time Markov chains are a standard tool in phylogenetic inference. If homogeneity is assumed, the chain is formulated by specifying time-independent rates of substitutions between states in the chain. In applications, there are usually extra constraints on the rates, depending on the situation. If a model is formulated in this way, it is possible to generalise it and allow for an inhomogeneous process, with time-dependent rates satisfying the same constraints. It is then useful to require that there exists a homogeneous average of this inhomogeneous process within the same model. This leads to the definition of "Lie Markov models", which are precisely the class of models where such an average exists. These models form Lie algebras and hence concepts from Lie group theory are central to their derivation. In this paper, we concentrate on applications to phylogenetics and…
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Taxonomy
TopicsGenomics and Phylogenetic Studies · Genetic diversity and population structure · Evolution and Paleontology Studies
