Article

Language may be all omics needs: Harmonizing multimodal data for omics understanding with CellHermes

2025-11-10

Abstract excerpt

Decoding cellular systems requires integrating diverse omics data, yet most models are trained from scratch on a single modality, restricting generalization. Here we present CellHermes, a biological language model that leverages pretrained large language models (LLMs) to integrate multimodal forms of omics data, such as transcriptomic profile and PPI network, through natural language for better omics understanding...

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Literature Corpus work: b1a4f6a0-fc85-5e6f-a5af-765d16bc6dbd
DOI: 10.1101/2025.11.07.687322

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