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Preprint Oct 2026

Panoramic modelling of single-cell transcriptomes at scale with CellNet

CellNet is presented, which enables panoramic modelling of single-cell transcriptomes at scale by integrating DNA-derived gene identities and measured RNA expression into a shared image representation and paves the way for AI-enabled cell-biology discovery at the whole-transcriptome scale.

Xiao-Qing Lian, Pei Liu, Jia-Hui Tan et al. · 0 citations
Preprint Oct 2026

Panoramic modelling of single-cell transcriptomes at scale with CellNet

Comprehensively characterizing cellular diversity is critical for understanding tissue development, identifying disease-associated populations and investigating gene programmes linked to specialized functions. Advances in single-cell profiling reveal additional cell-specific transcripts and molecular associations, yet...

Xiao-Qing Lian, Pei Liu, Jia-Hui Tan et al. · 0 citations

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