A fusion model called scMPT, combining scGPT with an LLM text encoder, improves single-cell cell type classification on most tested datasets, and the paper shows the LLM relies on marker genes and simple expression patterns.
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Towards Applying Large Language Models to Complement Single-Cell Foundation Models
A fusion model called scMPT, combining scGPT with an LLM text encoder, improves single-cell cell type classification on most tested datasets, and the paper shows the LLM relies on marker genes and simple expression patterns.