Evaluating DNA Sequence Encoding Methods for Taxonomic Classification Using Deep Learning Techniques: One-Hot Encoding, k-mer, and Embedding Schemes
The selection of the numerical representation of DNA sequences plays an essential role in taxonomy classification using deep learn-ing. However, systematic comparisons of different ways to encode DNA sequences are still missing. In our work, we compare three basic representation types: one-hot encodings, k-mer frequenc...