Article
An Interpretable Deep Learning Model for Predicting the Risk of Severe COVID-19 from Spike Protein Sequence
2022-01-18
Abstract excerpt
Throughout the COVID-19 pandemic, the virus has mutated in ways that affect its ability to infect people, cause severe disease, and escape immunity. It can be costly and time-consuming to experimentally study viral mutations. Sequencing genetic code is cheaper, and millions of SARS-CoV-2 genome sequences are available. With the quickly changing dynamics of SARS-CoV-2 evolution and patient outcomes, we need fast wa...
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Identifiers and source
- Literature Corpus work
- 336034d1-278a-5e26-88ca-abe0dfd01cd9
- DOI
- 10.21203/rs.3.rs-1234007/v1
