Article

Genomic Surveillance of COVID-19 Variants with Language Models and Machine Learning

2021-05-25

Abstract excerpt

The global efforts to control COVID-19 are threatened by the rapid emergence of novel SARS-CoV-2 variants that may display undesirable characteristics such as immune escape, increased transmissibility or pathogenicity. Early prediction for emergence of new strains with these features is critical for pandemic preparedness. We present Strainflow , a supervised and causally predictive model using unsupervised latent...

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Literature Corpus work: f7a8f0a6-ab3a-57da-8b19-a1e40304b7d1
DOI: 10.1101/2021.05.25.445601

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