Zhuoyi Lin

ViPal improves influenza virulence prediction by integrating prior viral knowledge into machine learning models using genomic sequences.

IAV-CNN predicts influenza A virus antigenic variants using a 2D convolutional neural network with a new amino acid representation, achieving state-of-the-art performance on three datasets.

VirPreNet predicts influenza A virus virulence using all 8 viral segments with a weighted ensemble CNN, achieving state-of-the-art performance and highlighting the importance of PB2 and HA segments.