BIOME-Bench: A Benchmark for LLMs in Multi-Omics Analysis
Published:Dec 31, 2025 09:01
•1 min read
•ArXiv
Analysis
This paper introduces BIOME-Bench, a new benchmark designed to evaluate Large Language Models (LLMs) in the context of multi-omics data analysis. It addresses the limitations of existing pathway enrichment methods and the lack of standardized benchmarks for evaluating LLMs in this domain. The benchmark focuses on two key capabilities: Biomolecular Interaction Inference and Multi-Omics Pathway Mechanism Elucidation. The paper's significance lies in providing a standardized framework for assessing and improving LLMs' performance in a critical area of biological research, potentially leading to more accurate and insightful interpretations of complex biological data.
Key Takeaways
- •BIOME-Bench is a new benchmark for evaluating LLMs in multi-omics analysis.
- •It focuses on Biomolecular Interaction Inference and Multi-Omics Pathway Mechanism Elucidation.
- •Existing LLMs show deficiencies in these tasks.
- •The benchmark aims to facilitate reproducible progress in this field.
Reference
“Experimental results demonstrate that existing models still exhibit substantial deficiencies in multi-omics analysis, struggling to reliably distinguish fine-grained biomolecular relation types and to generate faithful, robust pathway-level mechanistic explanations.”