Integrating bacterial and viral genomic information enhances and extends the machine learning predictions of bacteriophage activity against pathogenic Escherichia coli
Antonia Chalka, Ignacio Salinas Valdivieso, Talal Hossain, Christopher Bellas, Alison S. Low, Aidan T. Brown, David L. Gally
This paper develops a machine learning model that integrates bacterial and viral genomic data to predict phage activity against E. coli, improving prediction accuracy by incorporating phage gene content.
bioRxiv · Sep 24, 2026 · PreprintMicrobiology