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.
Decoding the transcriptome of calcified atherosclerotic plaque at single-cell resolution
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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.