Prediction of Recurrent Mutations in SARS-CoV-2 Using Artificial Neural Networks.

Abstract excerpt

Predicting SARS-CoV-2 mutations is difficult, but predicting recurrent mutations driven by the host, such as those caused by host deaminases, is feasible. We used machine learning to predict which positions from the SARS-CoV-2 genome will hold a recurrent mutation and which mutations will be the most recurrent. We used data from April 2021 that we separated into three sets: a training set, a validation set, and...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to COVID-19
• Share to Mutation