TreeFlow: Probabilistic Modelling and Automatic Differentiation for Phylogenetics

Clicks: 7
ID: 328553
2026
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #110 of 119 articles by views in systematic biology

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Probabilistic modelling frameworks are powerful tools for statistical modelling and inference. They are not immediately generalizable to phylogenetic problems due to the particular computational properties of the phylogenetic tree object. TreeFlow is a software library for probabilistic modelling and automatic differentiation with phylogenetic trees. It embeds phylogenetic trees in the TensorFlow Probability framework, and implements inference algorithms for phylogenetic models given a fixed 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.
Reference Key
openalex_W7212323181 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Christiaan Swanepoel, Mathieu Fourment, Xiang Ji, Hassan Nasif, Marc A. Suchard, Frederick A Matsen IV, Alexei J. Drummond
Journal systematic biology
Year 2026
DOI
10.1093/sysbio/syag072
URL
https://academic.oup.com/sysbio/advance-article-pdf/doi/10.1093/sysbio/syag072/71034151/syag072.pdf
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.