Author

Liam Brierley

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#graph neural networks Open access Sep 2026

Phylogenies as graphs: structured neural networks improve host origin predictions from paramyxovirus sequences

Accurately identifying the host of a virus from its genome sequence is a task with important applications in zoonotic disease surveillance and filling data gaps for metagenomic sampling. Machine learning approaches have seen broad application in making host predictions directly from viral genome sequences. However, mos...

James C. Herzig, Haley Stone, Liam Brierley · bioRxiv · 0 citations

Open access Aug 2026

Predicting the Risk of Avian Influenza Zoonosis using Viral Genome Sequencing Data

A alignment-free computational study can identify AIV cases still within avian hosts which are genetically closest to zoonotic AIV cases, thereby identifying the cases most likely to cross the species barrier and create a system that identifies high priority cases still within avian hosts that should be prioritised for...

A. Fairweather, Austin Andrews, Joshua Grier et al. · bioRxiv · 0 citations