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. 2021 Sep 9;6:100150. doi: 10.1016/j.mlwa.2021.100150

Fig. 1.

Fig. 1

Processing pipeline based in machine learning for finding potential pre-miRNAs in the genome of the Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2), responsible for the novel coronavirus disease (COVID-19): (a) Genome cut into sequences, (b) Prediction of secondary structure and feature extraction, (c) One-hot encoding of the nucleotides (A, U, G, C) and matches (‘()’) or mismatches (‘.’) in the secondary structure, (d) Input feature vector, (e) The deeSOM classifier, (f) The OC-SVM classifier, (g) The mirDNN model.