SpatialMOC: Accurate reconstruction of spatial multi-omics landscapes through cross-modality prediction

Abstract excerpt

Spatial multi-omics technologies provide unprecedented opportunities to characterize tissue organization by measuring complementary molecular layers within their native spatial context. However, simultaneous profiling of multiple molecular modalities remains technically challenging, limiting the widespread application of spatial multi-omics and leaving most studies reliant on single-modality measurements. Here, we...

Topics

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• Bioinformatics and Genomic Networks
• Biomarkers, Tumor
• Gene Expression Profiling
• Machine Learning
• Neoplasms
• Phenotype
• Single-cell and spatial transcriptomics
• Transcriptome

Identifiers and source

Literature Corpus work

b3a9bd82-163c-5168-b735-5b539b4178c2

DOI

10.64898/2026.08.10.743892