Incorporating LLM Embeddings for Variation Across the Human Genome

ArXi:2509.20702v2 Announce Type: replace-cross Recent advances in large language model (LLM) embeddings have enabled powerful representations for biological data, but most applications to date focus on gene-level information. We present one of the first systematic frameworks to generate genetic variant-level embeddings across the entire human genome.