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.
10 Gene Ontology Consortium
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OptimusKG is a labeled property graph unifying biomedical knowledge from structured sources into 190,531 nodes of 10 types and 21.8 million edges of 26 types, with 70% of sampled edges supported by literature evidence via PaperQA3 validation.
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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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OptimusKG: Unifying biomedical knowledge in a modern multimodal graph
OptimusKG is a labeled property graph unifying biomedical knowledge from structured sources into 190,531 nodes of 10 types and 21.8 million edges of 26 types, with 70% of sampled edges supported by literature evidence via PaperQA3 validation.