Dual-Branch AI Framework CrossBranch Sharpens Cell-Type Maps Across Omics Data

The CrossBranch AI framework improves cell-type deconvolution by combining gene-level and pathway-level data representations, aligning simulated and real data domains, and incorporating spatial consistency for better cell-type proportion estimates across multiple omics modalities including RNA sequencing, proteomics, and spatial transcriptomics.

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