Article

Classifying COVID-19 variants based on genetic sequences using deep learning models

2021-06-30

Abstract excerpt

The COrona VIrus Disease (COVID-19) pandemic led to the occurrence of several variants with time. This has led to an increased importance of understanding sequence data related to COVID-19. In this chapter, we propose an alignment-free k-mer based LSTM (Long Short-Term Memory) deep learning model that can classify 20 different variants of COVID-19. We handle the class imbalance problem by sampling a fixed number o...

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Literature Corpus work: 695df324-27bc-59a9-bdbd-f511cf24c920
DOI: 10.1101/2021.06.29.450335

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