학술논문

TreeFlow: probabilistic programming and automatic differentiation for phylogenetics
Document Type
Working Paper
Source
Subject
Quantitative Biology - Populations and Evolution
Statistics - Computation
Language
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.
Comment: 34 pages, 8 figures