Identifying and prioritizing potential human-infecting viruses from their genome sequences
N. Mollentze, S. Babayan, D. Streicker
This paper develops machine learning models to predict human-infecting viruses from genome sequences, identifying high-risk candidates and demonstrating applicability to SARS-CoV-2.
bioRxiv · Nov 12, 2020Ecology