GeneEmbedLLM: Harnessing Large Language Models for Gene Functional Embedding and Association Prediction
z. zhang, l. yang, z. he, j. ding, Y. Li, Rongbo Shen
This paper introduces GeneEmbedLLM, a framework using large language models to generate gene embeddings from multi-source textual annotations, achieving competitive performance in various downstream tasks.
bioRxiv · Nov 9, 2026 · PreprintBioinformatics