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Flowchart of this study. First, we used FastText to train model and extract features from benchmark dataset (Xiao et al., 2018), then combined 10-gram levels to a combination sets of vectors (1,000 dimensions). Deep neural network was then constructed to learn these vectors and classify the DNA sequences.
