An Improved Dataset for Predicting Mammal Infecting Viruses from Genetic Sequence Information
Tyler J. Reddy, Austin Schneider, Aaron R Hall, Adam Witmer, Nicolas Hengartner
The paper presents an improved dataset for predicting mammal-infecting viruses from genomic sequences and evaluates eight ML models, finding better performance at broader taxonomic ranks and highlighting challenges in out-of-sample generalization.
bioRxiv · Sep 17, 2025 · PreprintBioinformatics