OmicsLM: A Multimodal Large Language Model for Multi-Sample Omics Reasoning
Interpreting transcriptomic data is one of the most common analytical tasks in modern biology. Yet most current models either consume expression profiles without producing natural-language biological explanations, or reason in language without direct access to quantitative omics measurements. We introduce OmicsLM, a multimodal LLM that connects quantitative omics profiles with natural-language biological tasks. OmicsLM represents each transcriptomic profile as a compact continuous representation within the LLM context. This interface preserves quantitative expression signal while allowing natural-language instructions, explicit gene mentions, and multiple interleaved biological samples to...
| Authors | Maciej Sypetkowski, Joanna Krawczyk, Łukasz Smoliński et al. |
|---|---|
| Primary category | q-bio.GN |
| Published | 7 May 2026 |
| Last updated at source | 7 May 2026 |
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