BioinformaticsbioRxivPreprint
Predicting Future SARS-CoV-2 Mutations using Deep Learning
Huzeyfe Ayaz, Ali Reza Ibrahimzada, Arta Armani…·Ali Cakmak
This paper proposes deep-learning-based methods to predict future SARS-CoV-2 mutations using genomic, biochemical, and phylogenetic features, achieving an F1-Macro score of 0.78 on GISAID data.
DOI 10.1101/2025.07.12.664533