Classifying COVID-19 Variants Based on Genetic Sequences Using Deep Learning Models

Keyphrases

• Genome Sequencing 100%
• Deep Learning Model 100%
• COVID-19 Variants 100%
• One-Vs-All Classifier 66%
• Sequence Data 33%
• Long Sequence 33%
• Overall Accuracy 33%
• Accuracy Improvement 33%
• Fixed-length 33%
• Sequence Position 33%
• 3-mers 33%
• Multiple Classifier System 33%
• Batch Size 33%
• Class Label 33%
• Hyperparameters 33%
• Alignment-free 33%
• Test Accuracy 33%
• Long Short-term Memory 33%
• K-mer 33%
• Classifier Model 33%
• Vanishing Gradient 33%
• Embedding Vector 33%
• Class Imbalance Problem 33%
• COVID-19 33%
• COVID-19 Pandemic 33%
• Coronavirus Disease (COVID) 33%
• Disease COVID-19 33%

Computer Science

• Deep Learning Model 100%
• Long Short-Term Memory Network 100%
• Multiclass Classifier 50%
• Classifier Model 50%
• Class Imbalance Problem 50%

Biochemistry, Genetics and Molecular Biology

• Genetics 100%
• Short Term Memory 100%
• Coronavirinae 100%