TreeFlow: probabilistic programming and automatic differentiation for phylogenetics
Populations and Evolution
2022-11-11 v1 Computation
Abstract
Probabilistic programming frameworks are powerful tools for statistical modelling and inference. They are not immediately generalisable to phylogenetic problems due to the particular computational properties of the phylogenetic tree object. TreeFlow is a software library for probabilistic programming and automatic differentiation with phylogenetic trees. It implements inference algorithms for phylogenetic tree times and model parameters given a tree topology. We demonstrate how TreeFlow can be used to quickly implement and assess new models. We also show that it provides reasonable performance for gradient-based inference algorithms compared to specialized computational libraries for phylogenetics.
Cite
@article{arxiv.2211.05220,
title = {TreeFlow: probabilistic programming and automatic differentiation for phylogenetics},
author = {Christiaan Swanepoel and Mathieu Fourment and Xiang Ji and Hassan Nasif and Marc A Suchard and Frederick A Matsen and Alexei Drummond},
journal= {arXiv preprint arXiv:2211.05220},
year = {2022}
}
Comments
34 pages, 8 figures