Virus-Host Interactions Predictor (VHIP): machine learning approach to resolve microbial virus-host interaction networks
G Eric Bastien, Rachel N. Cable, Luis Zaman, Cecelia Batterbee, A.J Wing, Melissa Beth Duhaime
The paper introduces VHIP, a machine learning model that predicts virus-host interactions from genomic data, achieving 87.8% accuracy in predicting interactions at the species level.
PLoS Computational Biology · Sep 18, 2024Peer-reviewedBioinformatics