Genetic sequence embeddings (GSEs) are rapidly changing our capacity for analyze and interpret biological information. Among these, GSEBA is recognized as a prominent method for developing effective embeddings which represent the nuances of genetic sequences. The GSEBA method's structure is based on deep learning, allowing it to discover complex p