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Abstract Recent sequencing advances have enabled abundant multi-omics data generation for both single-cell and spatial contexts. Integrating such multimodal data is critical for decoding cellular and tissue-level complexity. However, compared with single-modality profiling, multimodal data often exhibit higher levels of noise, and existing methods typically overlook this challenge during integration.
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