AINeutralarXiv – CS AI · May 116/10
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OmicsLM: A Multimodal Large Language Model for Multi-Sample Omics Reasoning
Researchers introduce OmicsLM, a multimodal large language model that interprets transcriptomic data by combining quantitative gene expression profiles with natural language processing. Trained on 5.5 million examples across 70 task types, the model outperforms specialized omics tools and general LLMs on language-guided biological reasoning tasks, advancing AI applications in genomic research.