Congyu Lu

This paper introduces FluRisk, a computational framework using genomic data and AI to assess the risk of emerging influenza viruses, showing improved performance over traditional methods.

This paper introduces PHP, a Gaussian model for predicting hosts of prokaryotic viruses in metagenomics, achieving higher accuracy than existing methods.

The paper predicts antiviral drugs against African Swine Fever Viruses by analyzing protein-protein interactions and identifying key host proteins as potential drug targets.

This study develops machine learning models to identify human-infecting viruses using k-mer frequency in viral genomic sequences, achieving over 90% accuracy.

This study analyzes ASFV genomes to show that homologous recombination contributes to genetic diversity through indels, with conserved enzymes involved in recombination.