Deep Learning Applied to the SARS-CoV-2 Classification

The presented dataset provides comprehensive information associated with a machine learning-based tool that employs a deep one-dimensional (1D) convolutional neural network (CNN). This tool is specifically designed to classify and compare viral genomes of the novel SARS-CoV-2. Complete genomic cDNA samples, ranging in length from 26,342 to 31,029 base pairs (bp), serve as input for the model.