Genetic sequence embeddings (GSEs) are rapidly changing our ability to analyze and interpret biological sequences. Of these, GSEBA is recognized as a prominent method for developing high-quality embeddings which represent the nuances of genetic data. GSEBA's architecture is based on deep learning, allowing it to learn complex patterns within genet