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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
Open access Sep 2026

OrchAlign: Orchestrated Multimodal Alignment for Gene Expression Prediction.

MOTIVATION Gene expression prediction benefits from integrating DNA sequences and epigenomic signals. Existing approaches typically combine these modalities using simple operations such as concatenation or summation, without explicitly modeling fine-grained token-level cross-modal interactions. Establishing precise cro...

Li Liu, Guipeng Xv, Shu-Jie Liu et al. · 0 citations

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