DCA-derived Circos plots fed to CNNs classify SARS-CoV-2 variants with 98.68% weighted F1-score.
It is built on the principle of stacking small 3 ×3 convolutional kernels with stride 1 and padding 1, followed by 2×2 max-pooling layers with stride 2
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Classification of SARS-CoV-2 Variants through The Epistatical Circos Plots with Convolutional Neural Networks
DCA-derived Circos plots fed to CNNs classify SARS-CoV-2 variants with 98.68% weighted F1-score.