Forecasting dominance of SARS-CoV-2 lineages by anomaly detection using deep AutoEncoders
Description
The COVID-19 pandemic exemplified the need for a rapid, effective genomic-based surveillance system to predict emerging SARS-CoV-2 variants and lineages. Traditional molecular epidemiology methods, which leverage public health surveillance or
