OmicsLM integrates continuous omics embeddings into LLMs for multi-sample biological reasoning, matching specialized models on profile tasks while outperforming them and general LLMs on language-guided QA over real expression data.
Ajay Nadig, Joseph M Replogle, Angela N Pogson, et al
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TusoAI is an LLM-based agent that builds and iteratively optimizes domain-specific computational methods for scientific data analysis, outperforming expert baselines on RNA-seq denoising and earth monitoring while reporting new genetic associations.
Systematic benchmarking shows existing transcriptomic predictors for immune checkpoint inhibitor response have limited cross-cohort generalisability and inconsistent biomarker signals.
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OmicsLM: A Multimodal Large Language Model for Multi-Sample Omics Reasoning
OmicsLM integrates continuous omics embeddings into LLMs for multi-sample biological reasoning, matching specialized models on profile tasks while outperforming them and general LLMs on language-guided QA over real expression data.
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TusoAI: Agentic Optimization for Scientific Methods
TusoAI is an LLM-based agent that builds and iteratively optimizes domain-specific computational methods for scientific data analysis, outperforming expert baselines on RNA-seq denoising and earth monitoring while reporting new genetic associations.
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Transcriptomic Models for Immunotherapy Response Prediction Show Limited Cross-cohort Generalisability
Systematic benchmarking shows existing transcriptomic predictors for immune checkpoint inhibitor response have limited cross-cohort generalisability and inconsistent biomarker signals.