Shypd.aiThe largest open index of AI toolscell2sentence is an open-source research and education tool that applies large language models to single-cell analysis. It transforms expression vectors into cell sentences for native LLM modeling of scRNA-seq data.
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Cell2Sentence (C2S) is an open-source framework designed for applying Large Language Models (LLMs) to single-cell transcriptomics. It implements the C2S-Scale framework, which transforms expression vectors into "cell sentences"—space-separated gene names ordered by descending expression. This innovative approach allows LLMs to natively model scRNA-seq data using natural language, unifying transcriptomic and textual data. The tool enables advanced single-cell tasks such as perturbation prediction, dataset summarization, cluster captioning, and biological question answering. C2S-Scale models, including those based on Pythia and Gemma-2 architectures, are available on Huggingface, with support for finetuning on custom prompt templates and multi-cell prompt formatting.
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