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CellTosg2Sequence: A Unified Text-Omics-Signaling-Graph Large Language Model for Single-Cell Analysis

2026-06-22

Abstract excerpt

In single-cell (sc)-based scientific discovery, text-formatted biomedical prior knowledge and signaling graphs are essential for annotating and interpreting numeric sc-omics data and for generating novel testable hypotheses. A major limitation of existing single-cell large language models (scLLMs) is that they rely on numeric expression data with gene names as the only textual signal, while comprehensive biomedica...

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Literature Corpus work
08d46515-2d3c-5fd3-8313-54096e655df0
DOI
10.64898/2026.06.16.732397
Open publication

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